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Paper Citation Record · LEDGER

Baichuan 2: Open Large-scale Language Models

As of 5 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 46 inbound Pith citation observations for arXiv:2309.10305.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2309.10305 v4

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T06:51:02.531751Z

measured 128 of 128 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 46 of 46 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:32:18.086635Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

82 of 82 outbound references displayed

  • verified exact43
  • verified fuzzy4
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

125
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation c7cca44a-eb60-4a80-b3e9-28165acf8c2a · outbound

This paper cites URL: " 'urlintro :=.

Baichuan 2: Open Large-scale Language Models URL: " 'urlintro :=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:59:04.356207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:54335ad5d8a1e75aba3e93ebddd922e48d7d8110228a94e711d701fed700f1ce

Observation 711d3fce-132a-4016-8c10-d553fb658261 · outbound

This paper cites write newline.

Baichuan 2: Open Large-scale Language Models write newline

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:59:04.346863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:8aa5b6d2b74584b0d797ed7eb333a5fcd777b9a1eec30a8dc90e898fdf521ebb

Observation 83b18aa0-5c25-4cd3-8d55-f1d79b4c159b · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.342570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:da7a39b253753df041bb03de0dd7adac6349e3e0148a54059ba1a1e836989b32

Observation 119d04fe-3c52-4a67-b53a-f56542ae1183 · outbound

This paper cites PaLM 2 Technical Report.

Baichuan 2: Open Large-scale Language Models PaLM 2 Technical Report

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.592234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:f9062317d9fdf67b3bd897671b9d8259681efec1c5be85a65f0930e80801f1d8

Observation 15ccb51f-dfbd-4d08-87df-b1069ade761c · outbound

This paper cites Program Synthesis with Large Language Models.

Baichuan 2: Open Large-scale Language Models Program Synthesis with Large Language Models

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.635295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:8b8554b2dd88208b8b5ffa7e7258ba1f2fb9f0051a59ee2c1624be8d4c83b1d5

Observation 64d2c760-f8fc-4030-9014-c2bf195f45dc · outbound

This paper cites Layer Normalization.

Baichuan 2: Open Large-scale Language Models Layer Normalization

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.629351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:6225949cffe65a4317e0bb3cf6eaf9b0e5801772822f41ae79f65afebdbd5c67

Observation bef120ea-6ab1-4c1b-914a-07c9da943bc1 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Baichuan 2: Open Large-scale Language Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.618088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:c25d6d10742bc3abd6b0862f5cd4ed72a235234757484563af7533215dafce43

Observation 87633631-46e7-48c9-95f3-86c88fbd2317 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Baichuan 2: Open Large-scale Language Models Constitutional AI: Harmlessness from AI Feedback

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.623270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:7abb066c34eb4b46293e8025dff8eedca673f3d53735bd4bf866b1d2c311438c

Observation 65bb7147-8799-4e23-b559-32f3694ac8f1 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.300006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:99076f9c67450fbcb9fac09f7a0a890dfda58c180b33d481ecc53949fb61e561

Observation 08cfd832-4047-4c38-a9af-b4cdb5afca80 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.288520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:e8dd2629724a30c9f73f3d866a0bc6bcb5736f86c4a45bbd0dd6003c61897033

Observation 82d1e1e9-05fe-40bb-a6a5-71af50bfd059 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.280604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:53dea7b21e308978e1d9c8e42064107dd7729a7b3789e409b3ab575f0e2fbcb1

Observation fa1d6db0-6ab8-4697-81e0-95dc9b658113 · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

Baichuan 2: Open Large-scale Language Models Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.587068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:7da776a4bd464a025b408475a0861acb9280d0c2877943d30f385f05f6278ea2

Observation e38c1c86-ba8b-417e-ab07-77eb691bd398 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.284942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:fe4ca6e693f8b38da779914df0a48ec9efdd87d2722c508fd0c0a2ae3bb29e95

Observation 99d3b1b9-f0be-452d-939a-be6269844720 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Baichuan 2: Open Large-scale Language Models Evaluating Large Language Models Trained on Code

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.581478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:6fcf0e017ddee87182759e068ea50dc753f11f95932f1d878bfe531f873a07c5

Observation e7784f25-f7af-4e85-98f9-307f97a905db · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.292679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:72b7db4a97f3e3cd80e6b307c9144c69c4d2b7825632d9adcb49b8031d3ee4a0

Observation 03491b43-34fe-4819-9996-9712a468836a · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Baichuan 2: Open Large-scale Language Models PaLM: Scaling Language Modeling with Pathways

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.561177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:ba88998d6c2df40d50dc94920ef6323ff158c93bf864e5751c080f2745033a24

Observation c9346b16-d0e0-4cd7-b59a-fd7bbe2b5a1f · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.296219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:ef146594acfce77c595e8c4de652d93d8b70ed6c8816b899bc25e6786b8d5f05

Observation f8d66d92-ed32-43a0-968e-dcb7d1de8efc · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Baichuan 2: Open Large-scale Language Models Training Verifiers to Solve Math Word Problems

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.499980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:c9b61730d262038d830efd3b0e80f517373268effacc85b47d30b18e8aec7765

Observation 7874972a-271b-466b-9d2f-0957757387b8 · outbound

This paper cites No Language Left Behind: Scaling Human-Centered Machine Translation.

Baichuan 2: Open Large-scale Language Models No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.648188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:0913e4387cb9a1ec77c78b067e53736b376e10faaf00a98017fa1a16d013ae3a

Observation d6c6fc51-be23-47ce-8908-a93ee1fd4f26 · outbound

This paper cites Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca.

Baichuan 2: Open Large-scale Language Models Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:54:03.612401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:13e2d11683fc405b9cc2e5c291e62b6d0e4c19fd25f8c7de4fd6ef13bb109851

Observation 21899776-3896-463e-8f2c-f4bf741fcde6 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.303752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:de447d5bcbfb27cdd194f9c6581a2b89dcc17f1038e313dbfd30cbb831e2144b

Observation 6ab89395-6973-4923-b744-0a31dbb8b6c7 · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher R \'e.

Baichuan 2: Open Large-scale Language Models Fu, Stefano Ermon, Atri Rudra, and Christopher R \'e

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:59:04.312664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:b98da4f1d585441ffd71c1dfe144007fb13f04a84ca2651262ad2d90d6ca01b8

Observation 04bd35c8-0444-4978-8787-48bc0b4f0501 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.402149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:d220e9e1d102702258dd63d80942757eee4916513c0ae672ed3348d1728c3825

Observation e55b04e5-c261-4247-8852-af235fd68f17 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.406835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:6a9297e11e6a440d20424de4c77b8ff838a429fc619f4bb336bc60f6493a2a7d

Observation 87c3ef00-c4db-4436-979b-f48402f91e45 · outbound

This paper cites A framework for few-shot language model evaluation, September 2021.

Baichuan 2: Open Large-scale Language Models A framework for few-shot language model evaluation, September 2021

Reference 25

Resolution
verified exact
doi, observed 2026-05-24T06:54:02.817771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:cc6c1785c8a849f26c46710e76ba8bf218bea3350e503e50169777bdc095d6c0

Observation fc5586c3-27ea-41cf-9244-2d7609513a2c · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.410349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:54d2d4ecdbfceedc79a9a18878856d2f566cefaf80a34f5cec6bafd62711ccb1

Observation 8ef8e4c6-567a-41c4-a7e5-666a9f669611 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.319428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:c3a5a1b377b67565d83a7bb5419109e5bd341c285e7be1e99af0e7a1659d0497

Observation f22a3a6a-0f3e-4dc2-87c4-1671e09480b5 · outbound

This paper cites ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection.

Baichuan 2: Open Large-scale Language Models ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:54:03.655089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:abe3a4a49c8a1de736bf765f08ccde7928fc7067f917d3da3a55ea118c58b52c

Observation a556ab54-4df3-4da6-bb73-25f2941fc482 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.315881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:b11460c9b60c7278b7cf832fd9625846e2c835fcd2fab13eaf6eb11fe14e62a6

Observation 83d95a4d-f014-4d31-aeff-89f8b710747f · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Baichuan 2: Open Large-scale Language Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.487709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:7d552e672d300bf07d7b7b13c56b10a7f95ba6ac696d2f0cab584045e0d35d61

Observation 8b01ed4b-c8d3-4622-af8c-e5c7eb1d15bc · outbound

This paper cites Scaling Laws for Autoregressive Generative Modeling.

Baichuan 2: Open Large-scale Language Models Scaling Laws for Autoregressive Generative Modeling

Reference 31

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T06:54:03.604139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:dac9a119b425b14becd6480343d958a37c31c4e57bd811712b99ca8dc4413104

Observation 47e0fbcd-31fb-4c15-a0d2-d5d89badc8c7 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Baichuan 2: Open Large-scale Language Models Training Compute-Optimal Large Language Models

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.567927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:5fb6f017a8de97015e23903d834c00f6d9fe063b71086d6220585f48ee533905

Observation 148f8c0f-f8d9-40c7-ad99-6a24df4e5c55 · outbound

This paper cites C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models.

Baichuan 2: Open Large-scale Language Models C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:54:03.676902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:b3396b620ec300ffa191b2b2a3673b77594e90c159ab05249028f989833227d9

Observation df254990-ee8a-4709-997b-e43f8c09b0ad · outbound

This paper cites Beavertails: Towards improved safety alignment of llm via a human-preference dataset.

Baichuan 2: Open Large-scale Language Models Beavertails: Towards improved safety alignment of llm via a human-preference dataset

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:54:03.533590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:5b24c49295671ddecbe28e08cfda45420330c5e72201348acbc4d7016543fbf5

Observation c27be224-c8d9-43ad-805e-60f95f12463e · outbound

This paper cites OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning.

Baichuan 2: Open Large-scale Language Models OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:54:03.709365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:b8af25bd1e9bc9ff0e7fff0e0353080c20aa297473766c669307547ac55387a4

Observation ddea3ac2-a751-4186-bc38-c40d6e282a6e · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.308581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:347912e7b62f4db2f63df35cf4bd2863f3e266aeca6e4a6ee331abdd472413d2

Observation 25477705-cf9c-4faa-b43c-d87e74650709 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.417684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:ba76b0c25a969544e3c3e33b0f63263b62ebc5985ed7030cdb2913b8a9d159de

Observation 67b8da99-71c1-47bb-a991-16e28d1001d7 · outbound

This paper cites Scaling Laws for Neural Language Models.

Baichuan 2: Open Large-scale Language Models Scaling Laws for Neural Language Models

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.522573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:96783ed387279d5461a09aadbae033b466ffb2fbb6ca069bba97ac0d1ca7c1f2

Observation 86357566-efe7-479c-9173-fb5b94a2b7fa · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

Baichuan 2: Open Large-scale Language Models SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.462748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:6b43a03f5ab406313967e42df8e18ded6d78a6787a2e86dc5c8c31a6bcc29bcb

Observation d8ff68ad-9cb0-4441-ac03-a3036d5da480 · outbound

This paper cites CMMLU: Measuring massive multitask language understanding in Chinese.

Baichuan 2: Open Large-scale Language Models CMMLU: Measuring massive multitask language understanding in Chinese

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.475335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:8700ce65b6b6810d1968f6d948fe77945f598d00a1db0b1613af9c7f71b6dd4c

Observation 5073e09f-4bba-4222-a422-1f1b4b706810 · outbound

This paper cites Decoupled Weight Decay Regularization.

Baichuan 2: Open Large-scale Language Models Decoupled Weight Decay Regularization

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.717761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:6ce8fea594cf00375f0e55a1f74c09d46c0fde842369d8dd8e56969fee15049d

Observation e5985702-1216-467e-8ce4-89a382b4826e · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.385972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:651a3f29c269604bb1c27ec4a2064b78fb4dbe4cdd29a1d79fc6ebb4073b8f53

Observation 90c8f5ca-2690-4c19-8fb2-90e01b40ead8 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.389436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:2aae9f427229bf484a226c6119af4ed9be1d5ae7b5418d28519de0181216b6e8

Observation 8a444c51-0d45-4ac6-8d69-86d646b299b0 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.399038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:a5698ce8a4914df54f476e54760d9724f12eea27324e4eb690bcf3976d672ae5

Observation 2568da43-adb7-43c3-b79c-6db99abda1ec · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.378628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:d731a094dc7b8b0644c986a8f2e07fef4555eb1b1047a5359b4eb1703ae8a6a3

Observation 784586b2-b354-4684-9528-a8bed04ff4e0 · outbound

This paper cites GPT-4 Technical Report.

Baichuan 2: Open Large-scale Language Models GPT-4 Technical Report

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.730751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:5e9ef31d5195a4a687e3a2e2c9c48a8f4fdfdc66f713535fc06c36bbbc40fa2a

Observation 27fe133e-c1e5-4099-9cfe-469c5df6005f · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.370996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:1996ea352630390475c48877087b530deaeb4367f1dfb242b356b49459057fda

Observation a9e344dc-5f99-45ff-af71-b69ada8564d4 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.374738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:a14e22bcbf2ef7f8815153805bc6b01aeb508816eac7b0c0bc3994d2c10354aa

Observation a961a70f-4859-411a-9a7f-075efb0c4904 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.382527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:5af98ffde9bb6a83c2d9e9e6bb076c72a48895a16aa4ca0630e67fbdcdee1f4a

Observation 006d7ad0-ac02-4e73-ac00-f08f6175afef · outbound

This paper cites The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only.

Baichuan 2: Open Large-scale Language Models The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.481385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:71ac83f118284b3efd5d9ec88144188270abdf9c4266c9a478e87e01c5814d60

Observation 7e6e6736-811d-416c-91e0-85d9419e1f32 · outbound

This paper cites Deep contextualized word representations.

Baichuan 2: Open Large-scale Language Models Deep contextualized word representations

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.505701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:eaa5d04183c3412c2e1dcff7f36d8604c5dba83aa3ac09a9e7821168e8245bc6

Observation 260b6fd9-d8ed-4573-90fe-819c2f12f344 · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

Baichuan 2: Open Large-scale Language Models Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.528178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:ad74e1172a4996898699295ba7feb7d9499feca4d1e7fe44bf570abef5db1f6c

Observation 10b33196-1bd4-498c-be96-9d339123afc1 · outbound

This paper cites Self-attention Does Not Need $O(n^2)$ Memory.

Baichuan 2: Open Large-scale Language Models Self-attention Does Not Need $O(n^2)$ Memory

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:54:03.598810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:6c4b34e61141458dc39a3f9388695d1cbd5d85158bba0055ed7568ad9a5253a2

Observation 83d0941e-397b-4952-ac1a-1257b0050cbc · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.392600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:9b63ca1a3c21f689b3df7ea986d4d0d499e915888744317cdf9cf51134545c90

Observation b5c06682-2f5a-47ed-8d59-f81319dcce5d · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Baichuan 2: Open Large-scale Language Models Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.724308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:87948de4ad71cbc4ba2a3a6f60f3800066d126166868613ea5e074d40a3594f2

Observation 213c5339-6c31-4c7d-86cb-6bcd693b3256 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.360065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:99b0edd97f5b7462732d8eaf4b92b4338fffccde6ae85f5b0e52c7c3f40ee885

Observation aeeefa18-4b6d-4f29-bb23-488db1328be7 · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

Baichuan 2: Open Large-scale Language Models BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.573732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:2dfa69115a1d0c9d0f4cd9d77935ff7286cfc8d399b6896f3b63b08db4bff4ee

Observation dee3f015-8c24-4c1a-b1e3-8ce1b866c05d · outbound

This paper cites Proximal Policy Optimization Algorithms.

Baichuan 2: Open Large-scale Language Models Proximal Policy Optimization Algorithms

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.511525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:0e5d9a9a4d2903289fc5fa4bea7692021a7ad454498451e8347331c59628085f

Observation 1818e6d8-f1f5-47a0-99d2-5938fe19bb98 · outbound

This paper cites GLU Variants Improve Transformer.

Baichuan 2: Open Large-scale Language Models GLU Variants Improve Transformer

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.701026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:46ae65f70c32b004d6f3ff9dc8842ca917cb5b7885a1bce2eea60b761e1cd89f

Observation f14eec81-497f-4b16-b922-83b38471f470 · outbound

This paper cites Language Models are Multilingual Chain-of-Thought Reasoners.

Baichuan 2: Open Large-scale Language Models Language Models are Multilingual Chain-of-Thought Reasoners

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.642489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:546cb2cfa445e9afe863cd55c9471e2818f7392c7af46635ae8e23d767ee0744

Observation ec1a3645-3b66-4a36-8a09-b7981582db40 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.363517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:dbacdbe082a5a292447e5f6cdebdad2ca256bbe5af26126c660ecb19aa2da297

Observation 06822792-59bc-492c-9d91-e34fd508279e · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Baichuan 2: Open Large-scale Language Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.661016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:1e0013a1f1b1e783cc1e71431f7a7a4ca67e6cd1540c9cfb78fb813c8ea25b12

Observation 9ff95937-1c9c-426b-9e78-44be28ecf35d · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Baichuan 2: Open Large-scale Language Models RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.451502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:bd31e4c32b53c95878d5004d59cc3fcdf4e52590c2cbb2104c13134573e6ea4e

Observation 962aacef-1759-408e-ab7e-317bff398167 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.366997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:d4123bbd1050bcca2c358af00aaccb3ae3cf0c4905bec8ca9d39e7b4e3fc71a5

Observation 58747a67-a160-4111-b430-6ef360966dbd · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Baichuan 2: Open Large-scale Language Models Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.539145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:9908da2e48dfba06de363919813fdf2c3e4cc6050b560ee33d8e86b7e31ec631

Observation dec79934-de58-4966-a69c-f3de147e871f · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.350731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:182597e7c2bf19b6b7f7015c9170d7be375b63b8b8fa47f246677705eea46454

Observation 738ee4ef-01fd-4d52-9288-e1a55b03df72 · outbound

This paper cites Galactica: A Large Language Model for Science.

Baichuan 2: Open Large-scale Language Models Galactica: A Large Language Model for Science

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.555858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:2e35fb5cfb351cc737c25d5fe5c9935f6811b98583b756fcfe219d9105796693

Observation 670f780b-fb86-468d-822a-e19dc8327a46 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.336300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:d75c0c95ce2d7a01dca032bfa26a7d4e13dd5965c37a9ca90bd4fa31c08fe7b2

Observation ec31c3d1-384c-47c6-979e-11ead520771f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Baichuan 2: Open Large-scale Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.550253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:12b50611371438fdca052259747b4c9b63a2666ae9d934810fefb6ad896b6f09

Observation d2b0b183-72ff-42bd-b0fb-020462697e63 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Baichuan 2: Open Large-scale Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.695401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:df8bca5b806e37e9a42ab1dac86ab4271f028508ca86f311a6a2a2568fabf2d7

Observation 65e560a0-2f0d-47d1-bb2f-9be11fd2ef78 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Baichuan 2: Open Large-scale Language Models Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:59:04.329500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:3f1461e3bd18de62c61e69fc180ad0b63fa44492da73c39c33408ffec8ea13b8

Observation 9306f0e3-5d5d-4eac-b1da-685b14e9b20e · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

Baichuan 2: Open Large-scale Language Models Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.544790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:951d61d7885967b30d43f2d8f05ef7f292f878705eec2d5dc12968842f232afc

Observation 943025cd-c6eb-4bf7-be99-7a2e8cdc359f · outbound

This paper cites Aligning Large Language Models with Human: A Survey.

Baichuan 2: Open Large-scale Language Models Aligning Large Language Models with Human: A Survey

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:54:03.668248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:339a17afb40d61c113ea77824f9200d24fb0d04b56bb3b250c03a3c685f2980e

Observation 6d2652aa-6d76-4840-b01a-49cb48e5906e · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.332906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:8540cdd79e51747d27cccfee6f0a30139e0cab3627adca51a5d61fa30219284a

Observation 1b4877bc-0abe-4d16-b585-e86598faf5df · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.339471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:b515a5f2cb02656dae542be8446d45959d3f80f0fe059f9dd8a9add196e7d018

Observation e5f553b1-4ddf-4b60-90c6-a68955fe1f29 · outbound

This paper cites GLM-130B: An Open Bilingual Pre-trained Model.

Baichuan 2: Open Large-scale Language Models GLM-130B: An Open Bilingual Pre-trained Model

Reference 77

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.686546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:b62c24d15520455513d33659efe444c374cfd3fa30d1a494da61aadff55b47eb

Observation 04bd7909-bf5b-4a4d-afad-46230f3e2f9e · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.325742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:e9ce5419cfc9c74c9dde1386880579822bb72c2464be7568ccb18addf6f87e9a

Observation c7aa98c0-5f95-4d71-a270-4d1c0552cb96 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Baichuan 2: Open Large-scale Language Models OPT: Open Pre-trained Transformer Language Models

Reference 79

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T06:54:03.457227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:ad21726d8b11ce668da694834848d7dd15e800ebf53b9da1bdb373df34a6c0e3

Observation cbc74729-558f-4ab3-8fea-3c7f7906c210 · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.396031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:90e11dc265e743bb083a04d6dc7130261c1e4794fb064a6c6debe68ad8533c5b

Observation c74fb779-0810-4d53-a52b-4a1863e2c15e · outbound

This paper cites an unresolved cited work.

Baichuan 2: Open Large-scale Language Models Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-05-24T06:59:04.413898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:c4f1f0fbbecfab7dc9661109278257c6120cd8e75904ae5f7675b6e753600a43

Observation 4ffa988c-4a1e-4c9a-9fca-c8d94dfff545 · outbound

This paper cites AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models.

Baichuan 2: Open Large-scale Language Models AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.494391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:b15af0761b39a28a652181475cd8499da84c6f749c0d7c3423f7f4a8856221a4

Observation 449860d6-2579-4399-a202-c549a6c4d0b5 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Baichuan 2: Open Large-scale Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 83

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.469688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:6c0c5d1775442bf7ce3d8202a026f86ce7494be187e7036743192a34a3e9237d

Pith citing papers

Observation 7dfb46f9-5d22-4803-9724-417ff2ffe30a · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Baichuan 2: Open Large-scale Language Models

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:46:39.883881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:45a4185d6a83b7c94ea597d90f2cb5379fc7a550f9ad578857709d0487405d7b

Observation 7e0e9c76-e5dd-422b-95a1-d6db38a4bc93 · inbound

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions cites this paper.

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions Baichuan 2: Open Large-scale Language Models

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:12.977606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T17:08:12.727773Z digest=sha256:64f81c73e26f247aa90ce6229dcbbfac97db1c4b9fbc24254f21d2ad6822be31

Observation b132dadb-0bc5-42ef-bc31-7a3d9186cd01 · inbound

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks cites this paper.

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks Baichuan 2: Open Large-scale Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:46:09.790333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T22:46:09.693156Z digest=sha256:bffdc68db1127bac25dbb49dbbcb9d5620c87d9ea0f540c0df7f20415b6b88e6

Observation 5bbc5c41-8b42-4f0d-9648-a9c4efd35d67 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Baichuan 2: Open Large-scale Language Models

Reference 182

Resolution
verified exact
local_arxiv, observed 2026-05-18T11:17:08.566036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T11:17:08.108565Z digest=sha256:4a8249128461d272bf49c7686821a999610dfa1062f77af60660d7abad74046d

Observation 7b122707-0863-4581-8634-a1a36b5c40da · inbound

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models cites this paper.

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models Baichuan 2: Open Large-scale Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:33:30.425787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T02:33:30.143907Z digest=sha256:2bdf25782e4aa65819daa927e9f520205f72891694db4e39603ce26f35a098ec

Observation e08e007d-314b-4364-b708-bb86230343d9 · inbound

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model cites this paper.

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model Baichuan 2: Open Large-scale Language Models

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-05-18T15:27:52.120033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T15:27:51.839171Z digest=sha256:f0c794c072b954be66ad1de5da674ea336b1a97600f79daeea07d4ba773ca1a2

Observation b5d8ebc6-8564-4744-ad2b-1366a98d1796 · inbound

Yi: Open Foundation Models by 01.AI cites this paper.

Yi: Open Foundation Models by 01.AI Baichuan 2: Open Large-scale Language Models

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:47:27.933467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:47:27.775529Z digest=sha256:7066e3925c72669f6c90d449725e957cd3bc5936a8fbaeeea42196438a709ebe

Observation 84a920d2-dd21-4c78-8e6c-49735f43abcf · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report Baichuan 2: Open Large-scale Language Models

Reference 211

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.210974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:865f01531853aef8379a8a970ff33e9a3156cf91ff330c73b81c6a372b42dbb4

Observation d1263832-545e-49f0-aa33-bd95d841b90e · inbound

Are We on the Right Way for Evaluating Large Vision-Language Models? cites this paper.

Are We on the Right Way for Evaluating Large Vision-Language Models? Baichuan 2: Open Large-scale Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-12T19:41:44.409461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T19:41:44.263663Z digest=sha256:e9703c14763ba9a6ace315d0684804688335854620604b0731128a9db136f9fd

Observation 4fce4bc9-eb41-44c3-a89a-fb1f6ab7a65a · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models Baichuan 2: Open Large-scale Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:39:33.293390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T02:39:33.007894Z digest=sha256:ead1da292b7992f76c515b353127370e939ef5ade1c25754b4c11bd1a641f8e9

Observation bbedffc3-6185-4030-a803-ca82bd536361 · inbound

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites cites this paper.

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites Baichuan 2: Open Large-scale Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:58:59.335947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T20:58:58.849040Z digest=sha256:ab2cbe9f2fbb91b5420d77309045defd830611f46932066e5b2a690b4899ecba

Observation f363bbc7-e0d9-48ef-ba7d-4151057bd2fa · inbound

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation cites this paper.

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation Baichuan 2: Open Large-scale Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:09:17.106994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T22:09:16.622717Z digest=sha256:83fbb0f8398c4182bda3107e25113c67da17d4df3dd0e7a533833b2ac6336295

Observation 154b8ed4-06be-40f4-a73c-31b94d20fad3 · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities Baichuan 2: Open Large-scale Language Models

Reference 266

Resolution
verified exact
local_arxiv, observed 2026-05-17T22:16:04.807117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:cca935b92620350d017391a8018dc42cb1a90051cf28311df4c49e2157bfa021

Observation ec00cc7f-1b88-4357-9415-affc58d6d28d · inbound

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction cites this paper.

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction Baichuan 2: Open Large-scale Language Models

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-05-19T11:37:15.944491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T11:34:09.428653Z digest=sha256:e260ab83a09cf6ebfef56f22f4122b76ef6744d6fa0a3acad30b29e29acafdfd

Observation 049363f1-a4e5-4796-b265-a618333e271c · inbound

A Survey on Video Temporal Grounding with Multimodal Large Language Model cites this paper.

A Survey on Video Temporal Grounding with Multimodal Large Language Model Baichuan 2: Open Large-scale Language Models

Reference 136

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:18.086635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:32:18.086635Z digest=sha256:f875c4080836a1880f0c45e214bc070ec2746bbd9c0deb4233e9be25bea7fe02

Observation 1211bfa5-f4fc-4cf3-8c17-244f41b1e2c3 · inbound

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression cites this paper.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression Baichuan 2: Open Large-scale Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T12:52:01.701489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.701489Z digest=sha256:3e398c825ed0e59c5b878d585f5eb6838a07a2f1e5f3025bf13b705f53124737

Observation da42e193-5223-4a13-8af2-406275d3575b · inbound

DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment cites this paper.

DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment Baichuan 2: Open Large-scale Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T12:40:42.192216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:40:42.192216Z digest=sha256:6db44eb3acd659a95639420628de702bea63f340daf33500495438dad2f649fd

Observation c0c3248e-c0e7-4699-b19b-a24c582f8999 · inbound

Benchmarking Optimizers for Large Language Model Pretraining cites this paper.

Benchmarking Optimizers for Large Language Model Pretraining Baichuan 2: Open Large-scale Language Models

Reference 151

Resolution
unresolved
no resolver link, observed 2026-08-05T12:35:55.179989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:35:55.179989Z digest=sha256:59384dede26ba4f6c42dd4c3db7a0914788e0b8e5cc08af912364ca9813efae0

Observation 10547b7e-d609-4624-b226-16a13cd51a4e · inbound

MR-UIE: Multi-Perspective Reasoning with Reinforcement Learning for Universal Information Extraction cites this paper.

MR-UIE: Multi-Perspective Reasoning with Reinforcement Learning for Universal Information Extraction Baichuan 2: Open Large-scale Language Models

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-04T19:48:26.408551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:48:26.408551Z digest=sha256:9bf3a93128aa6566964bbdb0286f49ebe0ba544b43f103dd6fdcdd4c0d98d273

Observation 145bb100-cb62-416a-bfc7-42f6343e4084 · inbound

WisdomInterrogatory (LuWen): An Open-Source Legal Large Language Model Technical Report cites this paper.

WisdomInterrogatory (LuWen): An Open-Source Legal Large Language Model Technical Report Baichuan 2: Open Large-scale Language Models

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:05:50.744632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T18:41:55.855343Z digest=sha256:c7c4b4cbfc520b1c385440725f192f1ef4e97a7eade9f9e016d7b3270d9e7550

Observation 845d1530-e987-4823-a68e-751ff1cd9d7b · inbound

TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice cites this paper.

TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice Baichuan 2: Open Large-scale Language Models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:41:00.794439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T17:59:44.844149Z digest=sha256:0f7d0b95b5e06e25a686fc6844330b5d55f4aac47abe06193d084116c6676cea

Observation bdc8ae26-2c07-4694-a49d-41d447493bcc · inbound

Dynamic Emotion and Personality Profiling for Multimodal Deception Detection cites this paper.

Dynamic Emotion and Personality Profiling for Multimodal Deception Detection Baichuan 2: Open Large-scale Language Models

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:31:30.974278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T06:27:12.382094Z digest=sha256:45a506a6dff801eaef2a3566b8bf90f83d513711b44a02c5e6eed6167c627e5c

Observation de42dfbf-e3cf-4e91-9181-cce51f9e50d8 · inbound

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion cites this paper.

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Baichuan 2: Open Large-scale Language Models

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:56:06.167879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T02:35:40.593397Z digest=sha256:04851dddd2edd55d8f5f99ebf9fdcc4c8a27083c70030015e68fee922f972416

Observation a4b97328-d31a-4c88-a29a-b923c7caafae · inbound

HotComment: A Benchmark for Evaluating Popularity of Online Comments cites this paper.

HotComment: A Benchmark for Evaluating Popularity of Online Comments Baichuan 2: Open Large-scale Language Models

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:51:24.216545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T16:08:51.838574Z digest=sha256:a8f821ee69311f9910818cfe70d6b45af10af94bd0483a127b76dcf6bda37c4d

Observation 5c993acd-718c-4858-aa58-957f81082522 · inbound

ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring cites this paper.

ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring Baichuan 2: Open Large-scale Language Models

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T05:45:22.092585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-08T19:36:05.119054Z digest=sha256:7b18b0b2abbf8a438daf1e0729f0c5efd0fbd4dfd3df13d93f669ff31bf9681b

Observation 578b211f-226f-4d8a-838e-1e7b36b69703 · inbound

VITA-QinYu: Expressive Spoken Language Model for Role-Playing and Singing cites this paper.

VITA-QinYu: Expressive Spoken Language Model for Role-Playing and Singing Baichuan 2: Open Large-scale Language Models

Reference 133

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:50:55.860340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-11T01:03:09.942984Z digest=sha256:e43a8fa040fbe5bb9b6de3448d2bdc82d7a322730882b7c9623743ba49957f12

Observation a612e423-bf60-4904-b794-3dd9284250e1 · inbound

LLM-Agnostic Semantic Representation Attack cites this paper.

LLM-Agnostic Semantic Representation Attack Baichuan 2: Open Large-scale Language Models

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:21:24.205782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T01:14:08.629862Z digest=sha256:8f2fde5c591f35e2753de7828a2f8733640e86fbf1963729d30fd347b96669d6

Observation 9c4d40be-cc4b-4898-8b7d-41186c53c77e · inbound

Text-Guided Visual Representation Learning for Robust Multimodal E-Commerce Recommendation cites this paper.

Text-Guided Visual Representation Learning for Robust Multimodal E-Commerce Recommendation Baichuan 2: Open Large-scale Language Models

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-19T23:12:51.722704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T23:08:33.010725Z digest=sha256:6cafc0fe8fb1c1095dac78e0ae84183f030d20529d5043579a0f05fc75faff73

Observation e6226db7-7ed2-4975-9a7f-82b44db9edc6 · inbound

DuIVRS-2: An LLM-based Interactive Voice Response System for Large-scale POI Attribute Acquisition cites this paper.

DuIVRS-2: An LLM-based Interactive Voice Response System for Large-scale POI Attribute Acquisition Baichuan 2: Open Large-scale Language Models

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T10:33:12.934873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-20T10:30:48.957568Z digest=sha256:ff073420d8122a88f261abb87d91ceeb657aa5d0e76741bfa7e7bc293c65c167

Observation bfb81c8b-5a13-41ed-aeff-eff3eb7a90bb · inbound

Brain-LLM Alignment Tracks Training Data, Not Typology cites this paper.

Brain-LLM Alignment Tracks Training Data, Not Typology Baichuan 2: Open Large-scale Language Models

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T05:45:23.075451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-25T05:40:32.571841Z digest=sha256:a52874f8daaf59ddeebeffe331fbb733db13e3814b0fe831db38c15a372045cd

Observation 23458f77-1c2b-4642-807d-e43b643bdc66 · inbound

L2Rec: Towards Dual-View Understanding of LLMs for Personalized Recommendation cites this paper.

L2Rec: Towards Dual-View Understanding of LLMs for Personalized Recommendation Baichuan 2: Open Large-scale Language Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-06-29T16:23:39.679310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T16:14:38.165442Z digest=sha256:2cfea2cb9ad12081c6ac3760159b9cd67d094fca6d91dfa8767ceb1d0cfd1394

Observation 141bce0f-7865-4292-928a-1a330080be2a · inbound

C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning cites this paper.

C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning Baichuan 2: Open Large-scale Language Models

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T12:53:26.974212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T12:43:58.323948Z digest=sha256:7263e2c0f62694e1202a28fa6a029a18562f3e3736187bd4aa7045b3a87e10dd

Observation bf2a4c07-0ca7-4a4e-99d6-e57258a70137 · inbound

C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning cites this paper.

C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning Baichuan 2: Open Large-scale Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T05:01:11.033854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:01:11.033854Z digest=sha256:83c010909180ac62fa613f0a9168adc758128c5c79f7e5efd4305f506794ddc3

Observation faa86546-38d5-42b5-8323-d89135caa21b · inbound

Symmetric Divergence and Normalized Similarity: A Unified Topological Framework for Representation Analysis cites this paper.

Symmetric Divergence and Normalized Similarity: A Unified Topological Framework for Representation Analysis Baichuan 2: Open Large-scale Language Models

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-07-02T15:47:06.984213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T23:18:34.206475Z digest=sha256:bbdd08e137673d26ac1980be038408c269a79f132d3d976bf328f4386f832a02

Observation 2ec99cd8-6d94-454a-b47e-9d8ec4d80d9e · inbound

RATrain: A Resource-Aware Training Runtime for Large Language Models on Bandwidth-Constrained Heterogeneous Supercomputing Platforms cites this paper.

RATrain: A Resource-Aware Training Runtime for Large Language Models on Bandwidth-Constrained Heterogeneous Supercomputing Platforms Baichuan 2: Open Large-scale Language Models

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-03T07:17:43.981852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T12:11:37.337337Z digest=sha256:398e22d437176e804de53c565bd8116977c692c031466e1eb24ffadc00e45829

Observation c55c535c-abbe-49be-ae2a-2b87e455360d · inbound

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI cites this paper.

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI Baichuan 2: Open Large-scale Language Models

Reference 197

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unresolved
no resolver link, observed 2026-08-02T11:29:38.780260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:29:38.780260Z digest=sha256:cabb99275e8aa0b411863504c0e666f2272f475edbff96c0c5a53ae059dedf40

Observation 7a1142e9-5fdb-4daa-8492-ddf2faa0c0ed · inbound

DiT-Reward: Generative Representations for Text-to-Image Reward Modeling cites this paper.

DiT-Reward: Generative Representations for Text-to-Image Reward Modeling Baichuan 2: Open Large-scale Language Models

Reference 124

Resolution
verified exact
local_arxiv, observed 2026-07-04T10:39:45.907113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-26T08:35:04.038960Z digest=sha256:31b7d46b48871f795722b0da39789a3ccf51ceabb956ecf41c99e864e8167fc5

Observation f59d528a-33c9-47d5-b8ed-3c5a97efedde · inbound

Optimizing Visual Generative Models via Distribution-wise Rewards cites this paper.

Optimizing Visual Generative Models via Distribution-wise Rewards Baichuan 2: Open Large-scale Language Models

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-07-03T16:48:39.738557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T16:39:12.711424Z digest=sha256:e357c6d3218155e64c3fc49d722291b6a851febd29b4893cdaad3d286731be8f

Observation 17e04447-9462-4075-95f9-700771723fea · inbound

MentalThink: Shaping Thoughts in Mental SVG World cites this paper.

MentalThink: Shaping Thoughts in Mental SVG World Baichuan 2: Open Large-scale Language Models

Reference 78

Resolution
unresolved
no resolver link, observed 2026-07-12T01:50:59.184754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T01:50:59.184754Z digest=sha256:04095d3f724463a3b4ac473e22d6d0639e6f534ebf2463033f6791ebdc920c70

Observation 7a7f1c8f-0b0e-4d3d-a0be-8d028051939f · inbound

LLM Agents for Deliberative Collaboration: A Study on Joint Decision Making Under Partial Observability cites this paper.

LLM Agents for Deliberative Collaboration: A Study on Joint Decision Making Under Partial Observability Baichuan 2: Open Large-scale Language Models

Reference 64

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T15:05:03.461282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-08T15:03:14.483228Z digest=sha256:c503905a7239ba395a50e0fd4baad553c923e3d1a762d8f7a0d6567496e9bc41

Observation c1c5ecbb-a86a-4e07-a8eb-59becdd51cf5 · inbound

Index SLM Technical Report cites this paper.

Index SLM Technical Report Baichuan 2: Open Large-scale Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-14T14:51:11.146058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T14:51:11.146058Z digest=sha256:4c02d2bfce6e47f370e27a363c8f97e240ee4c10fa51cefc43471c87f5212584

Observation 999535c6-4453-42c8-be21-4d72a1ad560b · inbound

PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs cites this paper.

PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs Baichuan 2: Open Large-scale Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T13:27:16.584959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:27:16.584959Z digest=sha256:d1a8f9016eb936a974f138d017b5078e2cc29e9534b4ab6af2d0feeeb96829cf

Observation 73ae6671-9688-4ef3-8473-eb002fdbbf01 · inbound

QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization cites this paper.

QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization Baichuan 2: Open Large-scale Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T06:48:22.009226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:48:22.009226Z digest=sha256:5fe70dc5ab61fe465520529d6e481d8be4ffae27d0776d06d2fdfc627e633566

Observation fa17feff-ef08-462a-9f12-f3058cd600a3 · inbound

Reasoning or Memorization: Can LLMs Understand and Generate Chinese Xiehouyu Riddles? cites this paper.

Reasoning or Memorization: Can LLMs Understand and Generate Chinese Xiehouyu Riddles? Baichuan 2: Open Large-scale Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-30T22:05:20.520260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T22:05:20.520260Z digest=sha256:9506a91c2717884c7fed4a2dc6e067bda4d63223ab10cb832ba03f44802b2d2b

Observation 579d78e4-c392-4db9-9cfa-5151e1bce8d5 · inbound

DualAnchor: Preserving Language Priors and Improving Lexical Fidelity in Gloss-Free Sign Language Translation cites this paper.

DualAnchor: Preserving Language Priors and Improving Lexical Fidelity in Gloss-Free Sign Language Translation Baichuan 2: Open Large-scale Language Models

Reference 20

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unresolved
no resolver link, observed 2026-08-01T04:43:13.495476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:43:13.495476Z digest=sha256:ada391a28706a0c84ecb2d8d98503b9a91fc02368333834b4d612682e5166232

Observation 5965474f-e97a-4a4c-ae91-7fdb6063af18 · inbound

When Attention Goes Blind: Numerical Failure in ALiBi Positional Encodings cites this paper.

When Attention Goes Blind: Numerical Failure in ALiBi Positional Encodings Baichuan 2: Open Large-scale Language Models

Reference 56

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unresolved
no resolver link, observed 2026-08-05T04:27:29.433118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:27:29.433118Z digest=sha256:91eed1ad072be907e7739c6ca5a0aefb2272912fe91ed770f061913ae1f66996