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Paper Citation Record · LEDGER

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 2 inbound Pith citation observations for arXiv:2505.15045.

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

pith.paper-citation-record.v1
2505.15045 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:16.793192Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T03:04:12.500342Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:07:52.511039Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 66e2a0e5-829d-40d1-b0d9-f19781c338b0 · outbound

This paper cites online" 'onlinestring :=.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:13.082121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:13.082121Z digest=sha256:cfc013ab4f251795c46453aa7f363d44670fd1feaf244c2412503e44de285686

Observation 9e314bde-045f-400f-8098-9f7f72a55413 · outbound

This paper cites write newline.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:13.132885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:13.132885Z digest=sha256:71d59866dd9b961d7d027da5789499fce04922d7ba6376e4501aaac008e3c614

Observation b510d95c-95b5-4aa6-863e-21eb5fd83683 · outbound

This paper cites Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:19.940673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:13.233910Z digest=sha256:2698982e2333bc18d5c1e2cb864101dde48c8707b1d07eb566f3fca7189ee320

Observation 3956f452-6e3d-4d05-b9d9-6d4ab869b24d · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:13.324643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:13.324643Z digest=sha256:d75f3a44a6b0eb18a0cd28f8892468ea923b3ff31a8b15127ae0d306eb793155

Observation 489ac5d9-f58e-4ade-b2a9-318b7390c070 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:13.420795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:13.420795Z digest=sha256:0abae4d2ecef974752c4a4c953269d1946ce6f5f8bcf96e53e7427bef4afb8cc

Observation fd4ae157-3c24-4803-9f56-344ad4dae799 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:19.810904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:13.494920Z digest=sha256:50d53ca234cd6891e75e9dbb4b95a673b08acd3033d7bb50867df5c51ec8bbff

Observation 114d4121-a26e-4f8a-a965-ddcfbc45ee44 · outbound

This paper cites The Llama 3 Herd of Models.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective The Llama 3 Herd of Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:13.564479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:13.564479Z digest=sha256:7967876a1998716b59de260a3d31bdf5d9d88d3c5fb1ec7eafa6d2c349a68458

Observation cf329b7f-ad0b-4772-bb39-9dc19451b60b · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:19.699135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:13.632311Z digest=sha256:f73f00c028e81e878791ae5c730cd33a496f7c106be23e79e64cd7c3f995a3b3

Observation 7c4a9c70-cb3e-4485-a2ff-0be6b474e140 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective The Curious Case of Neural Text Degeneration

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:13.725369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:13.725369Z digest=sha256:5a4578fc85c5fc092ea095e453de7d66e8859023a567f8b8cb068d3ff37d4048

Observation 856def2a-56e7-4525-b6e9-bb2d02d6c2d5 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:19.583786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:13.785280Z digest=sha256:9f32dbde65b719ea6898b4fc28062cf940c630a1bf15e781822662d607e65eca

Observation 4e8065f8-9a33-4591-b3ee-d0fa11cb2390 · outbound

This paper cites Mistral 7B.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Mistral 7B

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:13.867717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:13.867717Z digest=sha256:557d8ba5cb78a6eb25d2bb3fd5631fe7c6d815330888f78a1d5fce2fc2bc8ba4

Observation 97a4eec1-55a2-4e8b-b469-4f024ca6bf35 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:19.489705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:13.964815Z digest=sha256:b99605406b0d093c4cd358c1823fba6fb246fdd4842debec0ee32cb53b7d0a8c

Observation 361810eb-f868-449c-b841-3d2d2b177341 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:19.356233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:14.056583Z digest=sha256:4fe6dbf2e3a8e1dc834493a463c9e81d5b785a576c11186a1a14733de3db646b

Observation 6973a8d5-259b-4ab1-9179-8349cd216265 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:19.244636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:14.118521Z digest=sha256:7ac8f0bd00c6b6713aafba01c5a8273ed09d4d4648b96a101610009dbdf524c0

Observation fd2043c4-18a3-4717-81f9-b934a6154d72 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:19.132997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:14.238085Z digest=sha256:8160daa9806a14a5610f8a3bf808bb34ea2740a581a51f6e4c936989f5bc3c02

Observation ea88ee57-1c59-4292-8bdc-d6ce58141f87 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:19.017390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:14.302382Z digest=sha256:394e552c24de1ab8f80d294376fdc2ce8b6477f6e2d793ffbb30b5b7c98e3583

Observation 43a52e7d-8ad9-49bc-80e2-473d19e95cb6 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:14.383091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:14.383091Z digest=sha256:508e6ddfbae8debb6f7baaea8b4c2c8b1104f22fe49d5adfdd6cd25fd0794813

Observation 58203a92-e08d-489f-be49-0c4874911dad · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:14.475227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:14.475227Z digest=sha256:bec1624bd309a42d9aaa9d92664a7b82ca51bf94fced9d3771904222fbdb83a6

Observation 6905e84f-c925-46ae-aafa-42d91c4c0cde · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:18.894036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:14.565319Z digest=sha256:c080c60d36d2eb6b254d6b793c4f75c1dccf86284b0ce2943c3cccb093fc0aa3

Observation eacb03af-70c5-4267-9ebf-f05108d019fd · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:14.626097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:14.626097Z digest=sha256:544061680ccdb5a034a3773cf0fd3a3c568568510e80b51647a912f50a8b3f4f

Observation 6641d10a-121b-4877-93dc-0f8295887d21 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:14.700277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:14.700277Z digest=sha256:9c9c386ebdb8fb505b8b603214ba1db37c3b0375acf2c854a2c29d3226d1aa9b

Observation ed4c49cf-9eb9-4f92-8b6a-3f9e7ce49232 · outbound

This paper cites Generative Representational Instruction Tuning.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Generative Representational Instruction Tuning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:14.787001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:14.787001Z digest=sha256:9992954f7c74109cb3af30fe2540482d667bd06b4e5d9d736993f8779942bdae

Observation 1d480c64-b4dc-4ada-bea2-4ec3da32e9ba · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:18.764688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:14.844421Z digest=sha256:6365d519b96275ee6fdddc493b0a4ba7be7fc5d38c2e527076a94e74bc3c0985

Observation 61f43acd-93f3-4b95-b903-41896cc22df3 · outbound

This paper cites Large Language Diffusion Models.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Large Language Diffusion Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:14.952541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:14.952541Z digest=sha256:f3c72164e16746fa1a988a73c3cb4cb649a63dad0a88c40cce171238bc7e045d

Observation f73ac759-fff4-49ca-be2a-88f88990b2e2 · outbound

This paper cites GPT-4 Technical Report.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective GPT-4 Technical Report

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:15.018243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:15.018243Z digest=sha256:2fd12bb78faba0e4077f5420080646f791ff0e3bfc4544d5ed0e3d311216aaf6

Observation 567e664c-8150-4b4f-899f-9b6038ec1570 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:18.617690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:15.102881Z digest=sha256:9918aa3d145ba06d06fea2252a1c258af13c2096919828626333725b0830db03

Observation ddb27b55-00bd-4b19-a99c-91c764295090 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:18.512287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:15.165577Z digest=sha256:8b1ce4182d1a4767ebc29c11e4953e58134767d23829c62a9247461fd47c7607

Observation 80ee3033-f492-43dc-94de-90cdf2246176 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:18.405487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:15.261519Z digest=sha256:01a63d598739fb3692097352b7603f77d966e73d744bcf9c284b21208ff487f5

Observation 12cd277e-be6b-45f1-af97-48f34c26ac61 · outbound

This paper cites ReasonIR: Training Retrievers for Reasoning Tasks.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective ReasonIR: Training Retrievers for Reasoning Tasks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:15.327109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:15.327109Z digest=sha256:52f3813418e31ab3f34830ab9753c742092e10661c934342bf29d48ec00d5d28

Observation 26b15f54-1c2e-4c45-b5ab-8b3df2454eeb · outbound

This paper cites MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:15.400672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:15.400672Z digest=sha256:ad1be674be6d464dee9b82adb06af8597cae12f226ba1b405ad35acca7b3b1b2

Observation 825982bd-87fe-4edd-984f-932ee98935df · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:18.291310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:15.479066Z digest=sha256:31a0dd1141ae8250a7daa20f25e050fadf5292a7517569f515480a4b4501b688

Observation 13820063-f277-4a7c-b6af-54393ee93e2c · outbound

This paper cites IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:30:17.193560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:15.544995Z digest=sha256:1ab7fcdad332e17bc6770045f18bebff534ee4b0d770e38f0c1ccab0a592ef4a

Observation 76f341a6-b23a-48d3-b136-de6a82951050 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:18.146509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:15.633222Z digest=sha256:e6a5106c23c4fae2aa8cc8607450e2a1fd47d1d18b17830976d344e010dd3395

Observation b4cc4f7b-2b2e-4c9c-b81a-257dab1f9a81 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:18.035468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:15.699273Z digest=sha256:56cde3323281f8a63c162ec7589a8f3e05b2044a1ba474dd8d211a41f90c6a8f

Observation da130949-e377-41e5-96b4-6229738f9296 · outbound

This paper cites BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:15.785938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:15.785938Z digest=sha256:4eeb3bdb0a7201fad5483749435e5aca5390836d8499f8198a7d7ee7337af489

Observation afc1e5b3-cb4f-448b-b345-61423c56be7a · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:17.919545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:15.893735Z digest=sha256:36845af56297166cc47b5cc7d720ba93cba3d22538a0e00a5c9ee6b7e6e94dc8

Observation 26cfc65d-72bf-4a6d-a2b9-f37d39554ba3 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:15.978580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:15.978580Z digest=sha256:3abc8ee89e654be7338e55c2254662bddab13079381de44ef3b5e10c89878de7

Observation 72016d98-c569-4166-9398-d50852290d99 · outbound

This paper cites Improving Text Embeddings with Large Language Models.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Improving Text Embeddings with Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:16.071533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 03694c10-721e-44f0-af60-597778919d66 · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:16.159413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 532a484e-892c-43e3-94a7-eb51be1012cb · outbound

This paper cites FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:16.269135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:16.269135Z digest=sha256:4014ab5b360e0c5b8b6bbad9f9ff391e3589db1fc7eb07870d0fae7eb5aac827

Observation 98083aeb-07a2-464f-bde7-974cfadf609a · outbound

This paper cites Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:16.355694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 71593dfa-d701-4cab-bd61-4f48fd452784 · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:17.786892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ea88d0db-e0e4-4c21-801a-df3d7fa42917 · outbound

This paper cites Qwen2 Technical Report.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Qwen2 Technical Report

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:16.524683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b74d9f98-d4b9-4a83-a045-286c107adbdb · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:17.665048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b6f5df0f-ecf8-4924-8fca-45e22aacd72e · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 45

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T15:30:17.061980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:16.684483Z digest=sha256:f1266a30bd13536e9930c2a4b799c8c30a4f210f7c46ab60fedb4ef4bf3c9377

Observation 4227abe9-7abf-471b-ae77-bc575162108b · outbound

This paper cites an unresolved cited work.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:30:17.574221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T15:30:16.793192Z digest=sha256:6913e9040deadb5857f9599cdfb383dbbdf2a6c077f0536487402e381e6d6e39

Pith citing papers

Observation 38ef7463-8c2e-484a-be97-6056d0b95d89 · inbound

Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed cites this paper.

Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:31:19.305428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8edf1a45-279a-4e80-b36d-4c300261ee2b · inbound

Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding cites this paper.

Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-07-11T03:07:52.540657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-11T03:04:12.500342Z digest=sha256:fcd5c0d95ef9213db34fd64227166924560f19c3c60e7ac4887b4b94a6807c66