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Paper Citation Record · LEDGER

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment

As of 16 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2505.12762.

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

pith.paper-citation-record.v1
2505.12762 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:32:06.138481Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T00:56:04.958757Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T00:58:25.715789Z

Reference resolution

68 of 68 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved59
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc8ec63b-f5a4-4240-87c5-f2f3f2976f51 · outbound

This paper cites DELIFT: Data Efficient Language model Instruction Fine Tuning.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment DELIFT: Data Efficient Language model Instruction Fine Tuning

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:05.916418Z digest=sha256:3145d4cd84e07c970b6c1b25a0e77159c64e18672ac8cb24e3bac466d05859d5

Observation 626545fd-77c1-4583-a20d-61d0397a04dd · outbound

This paper cites A Survey on Data Selection for Language Models.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment A Survey on Data Selection for Language Models

Reference 2

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source=pdf_text observed=2026-08-15T20:32:05.920871Z digest=sha256:0a03ffec01dee2064aeb35acf7c6e80e3199fd72a7dd96095f6caa00a4788a75

Observation d4e983ed-bc7a-413e-8cc9-3709d014b623 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment The claude 3 model family: Opus, sonnet, haiku

Reference 3

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raw_fallback, observed 2026-08-15T20:32:06.794206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:05.924571Z digest=sha256:c896ccee6b8a7b068632943ce85dd5c176115b5c4785c66f47e7ac3c24f51047

Observation 8be3106b-d622-4075-9ea2-36e5248f72f5 · outbound

This paper cites Program Synthesis with Large Language Models.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Program Synthesis with Large Language Models

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:05.930955Z digest=sha256:04220938e802e498ee0eee7b61b9663a1d800862f7fe8a3d1139b675611c1acd

Observation c981621f-a9f6-45e3-aae9-79cdb4ecc56b · outbound

This paper cites Bengio, J.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Bengio, J

Reference 6

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no resolver link, observed 2026-08-15T20:32:05.933955Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:05.933955Z digest=sha256:d4e6814ba8d06cdfeeb3c32fadd0efd3879e93583d0190346b77a05664961f8e

Observation daeb8c75-cce4-4b82-af38-e386a234b812 · outbound

This paper cites an unresolved cited work.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-08-15T20:32:06.778746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:05.937373Z digest=sha256:17c4f45f858cf90fa854eb3bd8ea66a37d2587fe542cc7c058f5432e312dec02

Observation dce06d90-89af-4d3d-977e-478e2ce3795d · outbound

This paper cites Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization

Reference 8

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:05.940394Z digest=sha256:634d0c3ee1bb53d660383eb173ed3be71da0a1fb269bef30370fdae01cb4d332

Observation 5a1604d0-71ad-4c33-ae1a-156ae6de2079 · outbound

This paper cites UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining

Reference 9

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source=pdf_text observed=2026-08-15T20:32:05.943513Z digest=sha256:23080ba1ee8a174e94057bca3c1e62d0ad9b70f849df80258f6a8a4c0d37cd21

Observation c76b2c8f-756c-46af-ad5b-55240cde1288 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 10

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source=pdf_text observed=2026-08-15T20:32:05.947697Z digest=sha256:15abef16839c8f625fb6ab0672be243dcebd7ded708a8a128570a17cc3467134

Observation 0c74731e-da5b-4184-b158-210cc6cc86a5 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Training Verifiers to Solve Math Word Problems

Reference 11

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source=pdf_text observed=2026-08-15T20:32:05.951626Z digest=sha256:6863673f69bf34971d27ce75067bb58486c44f79b962e24c8e8785b3e1bc0e16

Observation bf909082-e51a-4af4-99d7-a193eb50c8f5 · outbound

This paper cites Contributors.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Contributors

Reference 12

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raw_fallback, observed 2026-08-15T20:32:06.768925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:05.954779Z digest=sha256:aa9f84db6d5e9b2313f1aade9f184ccf3fab7ab1d069cdad4b646a95b9084762

Observation 057cdc3c-6202-46a5-b583-e4002dc342c6 · outbound

This paper cites Dehaerne, B.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Dehaerne, B

Reference 13

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raw_fallback, observed 2026-08-15T20:32:06.758190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:05.957747Z digest=sha256:25b53d62b3a5762b6b4f0bf61cc2596834dfd71ff89a9206d13880aa820a00b6

Observation e9354517-c7fe-4001-b768-18715b220769 · outbound

This paper cites How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 14

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source=pdf_text observed=2026-08-15T20:32:05.960690Z digest=sha256:81049938fa2871e076773a67f55a5c79a3910a403780761764f4295e182c21a2

Observation e1388cf8-556b-424e-93d5-645c67002203 · outbound

This paper cites DsDm: Model-Aware Dataset Selection with Datamodels.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment DsDm: Model-Aware Dataset Selection with Datamodels

Reference 15

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source=pdf_text observed=2026-08-15T20:32:05.963735Z digest=sha256:9991f5a7b090a5872280b5daa9639b36f5f75ef77d827f07cf83a6e095c00b87

Observation f442e621-206a-46b8-b33f-8ee910869b57 · outbound

This paper cites DoGE: Domain Reweighting with Generalization Estimation.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment DoGE: Domain Reweighting with Generalization Estimation

Reference 16

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source=pdf_text observed=2026-08-15T20:32:05.967072Z digest=sha256:f9d986f1fb17b2e81fe932a47fe3e20505bf98c27d3e5b38d144100db92d6a41

Observation b839afd9-f0c3-4f79-9ec9-714f2ee31a41 · outbound

This paper cites Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection

Reference 17

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local_arxiv, observed 2026-08-15T20:32:06.502408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:05.970530Z digest=sha256:0f0621cf74b2525882fc0dcc61a3fdfdb33ee2157bd15b864089a39180fb41e3

Observation ca4b0baf-7c8f-4030-9085-d3a3ac693c94 · outbound

This paper cites Franceschelli and M.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Franceschelli and M

Reference 18

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raw_fallback, observed 2026-08-15T20:32:06.747924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:05.973643Z digest=sha256:f5c3a7d1701ac296af68b87578fdaecf154e66d308858f05c063ada359fa80a0

Observation f8ad62ca-1ba5-4727-9cb2-3e777369595e · outbound

This paper cites On the Relationship between Truth and Political Bias in Language Models.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment On the Relationship between Truth and Political Bias in Language Models

Reference 19

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source=pdf_text observed=2026-08-15T20:32:05.976913Z digest=sha256:0906a19fffae5480f0a8ee5c862a83a3cfba56b76e2719e3deba9bcf8eb0849b

Observation b9876cf0-f62f-4778-b386-d9cab591fcd6 · outbound

This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 20

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source=pdf_text observed=2026-08-15T20:32:05.980080Z digest=sha256:906e4e62b42f104a96b009896c1ad0ea546b04694493df9cdd67451d4d72719a

Observation ba22273b-4637-47a3-b993-ae7d96a24331 · outbound

This paper cites A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing

Reference 21

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source=pdf_text observed=2026-08-15T20:32:05.983486Z digest=sha256:85c64b6aa21a742f42b436fd477bf374cd5e5e0211d8a2b43a9916535baa41e1

Observation e414a9ae-5d4d-4fb0-8eeb-3b8e87d5493e · outbound

This paper cites The Llama 3 Herd of Models.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment The Llama 3 Herd of Models

Reference 22

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source=pdf_text observed=2026-08-15T20:32:05.986356Z digest=sha256:8819f68320699f9109ae0ca8cdc0cbe409073ef5978a9685ff1e2cd65e2dbe37

Observation e7f4457d-5d34-4358-be99-b16a4ffd2071 · outbound

This paper cites Studying Large Language Model Generalization with Influence Functions.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Studying Large Language Model Generalization with Influence Functions

Reference 23

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source=pdf_text observed=2026-08-15T20:32:05.988896Z digest=sha256:e850b5b867af30928651eae9b37624c3d5194f8758eb21341348553adb9c3e35

Observation 9d53860c-5a50-4f99-8268-39e4abe955f2 · outbound

This paper cites an unresolved cited work.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Unresolved cited work

Reference 24

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raw_fallback, observed 2026-08-15T20:32:06.738419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:05.991790Z digest=sha256:5dfe08cc29376210e659892c1917718c4011b240565b316581de374c9921b7fa

Observation 73f17fe6-595f-416c-b5d8-c06cfa7c66f2 · outbound

This paper cites Data Selection via Optimal Control for Language Models.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Data Selection via Optimal Control for Language Models

Reference 25

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source=pdf_text observed=2026-08-15T20:32:05.994275Z digest=sha256:d5ae26e8240f3900320a01efb5a7b2c4e8d8226a1eb716d5e851453c26f378fc

Observation 1c727a66-9413-48c8-8c5b-3a6008d5bd35 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 26

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source=pdf_text observed=2026-08-15T20:32:05.997054Z digest=sha256:b4370b0d2ed44bb733f13cf9eeca53bcdfa6911010df1183f69a5db68b8d7138

Observation 842fc8e7-a233-4027-a868-8fccd8fdac4f · outbound

This paper cites an unresolved cited work.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Unresolved cited work

Reference 27

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raw_fallback, observed 2026-08-15T20:32:06.728548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:06.000743Z digest=sha256:b4337df48754382cbde7dcd16138485bb7ac09a1709d831321a80f0ae3a14347

Observation 49d92fe5-96f1-4a78-92d5-ba3f4a418956 · outbound

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

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Measuring Mathematical Problem Solving With the MATH Dataset

Reference 28

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source=pdf_text observed=2026-08-15T20:32:06.003978Z digest=sha256:73b63fb1716f43f0256ce719c3a6e4c404a116d5edde44ba63cd46e1b16a6414

Observation a56a8777-4bed-47ad-b00a-3d8c2cc9eef1 · outbound

This paper cites an unresolved cited work.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-15T20:32:06.718418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:06.007125Z digest=sha256:1fd4a2f34c0944afc70c47d84e03708ffb850842ba102af30736bbbe87a4fd92

Observation eefd2788-1c8e-4103-bbf6-9befca788278 · outbound

This paper cites Datamodels: Predicting Predictions from Training Data.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Datamodels: Predicting Predictions from Training Data

Reference 30

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source=pdf_text observed=2026-08-15T20:32:06.010090Z digest=sha256:17afec62c9d90a73f77650b21c15767ec7b22ff2a295f11538d8d7890d6dd5c0

Observation 21799020-8b87-4227-987d-57f0a9c73362 · outbound

This paper cites Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs

Reference 31

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source=pdf_text observed=2026-08-15T20:32:06.013449Z digest=sha256:4b77c533702e6ac3675dbc7eeee5f2d7e85b0b32ea5002ac932195d4ae9bd4cc

Observation 0eea2300-246d-43c2-b8ea-3f5f60166270 · outbound

This paper cites an unresolved cited work.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-15T20:32:06.016907Z digest=sha256:d40a5a96ca7c35712a49d22f4d1dd35f3344c2671a18229bb1d509442598c968

Observation 1d54c371-39de-4993-9cfe-8e8b42a95a0b · outbound

This paper cites CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges

Reference 33

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source=pdf_text observed=2026-08-15T20:32:06.020213Z digest=sha256:1485b8b8c5d57867784c02986b36f588aded11ae27df4ff0ff450546e3ec7446

Observation 2857952d-086c-4840-9b47-35daad2df631 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 34

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source=pdf_text observed=2026-08-15T20:32:06.023634Z digest=sha256:c3bb92b75f0f4c4d0240ab423fe119f923dfe3e42c5ba954aab7adcc05f987a5

Observation 98f770aa-d898-4bf0-97a0-4e07cebe3da0 · outbound

This paper cites an unresolved cited work.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Unresolved cited work

Reference 35

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raw_fallback, observed 2026-08-15T20:32:06.703267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:06.027154Z digest=sha256:bbe060fafd1c5818dd78d83db3fd3ab1834e8a2263be3fdd35b8332837485ea5

Observation 997aa51a-c8a5-4453-9aa6-19e2f7b97e0b · outbound

This paper cites RegMix: Data Mixture as Regression for Language Model Pre-training.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment RegMix: Data Mixture as Regression for Language Model Pre-training

Reference 36

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source=pdf_text observed=2026-08-15T20:32:06.030455Z digest=sha256:dfac2b452f8d3277110af5ce19748e5253e6e49002982388a868e941721a9429

Observation 0571aa7a-9c6b-4218-9a4c-0552ce0d1809 · outbound

This paper cites What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Reference 37

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source=pdf_text observed=2026-08-15T20:32:06.033922Z digest=sha256:5bf553651d7b395e4f986a6bc1c6dc0eb170e95aaf3f23a155da52829c2e22ab

Observation 06ed8a7f-db35-4c6e-a70d-fda8c35b0cd9 · outbound

This paper cites an unresolved cited work.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Unresolved cited work

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:06.037585Z digest=sha256:f438f729bb7763c7eb55abe4c54e2e8348d21ae8514c2926ca6e54d819ceef21

Observation ad3716d9-eede-40f5-97f2-8feedcb0a7ef · outbound

This paper cites ReFT: Reasoning with Reinforced Fine-Tuning.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment ReFT: Reasoning with Reinforced Fine-Tuning

Reference 39

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.040832Z digest=sha256:e9fe6d6e28a4db7da04460769d60c4e7f711e7eede0e5d9cc52534b8ad2a09e1

Observation 4c44f3b9-af74-45d2-bfb3-2e9b23d38a08 · outbound

This paper cites Martens and R.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Martens and R

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-15T20:32:06.683850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:06.044362Z digest=sha256:7e462bd4168e325665b4bf0bdc1fd65ef99c0040b62162b4fd984b353ad9017a

Observation 75989471-8ffb-4b03-b1d4-796ab18c9a60 · outbound

This paper cites Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Reference 41

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.047770Z digest=sha256:96ba1f85d0fa4edd7de0da366c46308efd67b42c7260404b9bf6f8983ef37da7

Observation 7a2de7e0-ceb6-4543-bc25-cdd76d2a855f · outbound

This paper cites Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models

Reference 42

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source=pdf_text observed=2026-08-15T20:32:06.051092Z digest=sha256:6efe99ca39abb9cd48d95525a70a1e9e315969e1167a3527e05913212cf9a979

Observation 7d1ba1ac-a3ff-44c8-b0b0-3ccd06495c52 · outbound

This paper cites Muennighoff, A.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Muennighoff, A

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:32:06.673704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:06.054431Z digest=sha256:5d30f7d7aa8f1c84aff843d7ef0cd4333fcb518e03625d41eb48d7d1f0430bf7

Observation 77b41c54-840f-46c8-b393-538e6411f163 · outbound

This paper cites GPT-4 Technical Report.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment GPT-4 Technical Report

Reference 44

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.057507Z digest=sha256:4bd0ed6e150b3ff16b160e9fe5aea623cfa4007042b53ee6ebc8e5a8692568a6

Observation c9c5daea-9271-411f-8d6d-526829ba7c3a · outbound

This paper cites LEMMA: Learning from Errors for MatheMatical Advancement in LLMs.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment LEMMA: Learning from Errors for MatheMatical Advancement in LLMs

Reference 45

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.060570Z digest=sha256:158ec422e9169d2c7857ada8fd9d8aeb82fe90896e584996a4c46d49b7c3d3c5

Observation e6de06b6-6273-4797-b078-3cf254aa804e · outbound

This paper cites TRAK: Attributing Model Behavior at Scale.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment TRAK: Attributing Model Behavior at Scale

Reference 46

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.063773Z digest=sha256:12d3ad6be537bc6003981cc2a031f993e0e326f245d4c99dd7d197ca0e197fbf

Observation f2d3ec5c-7a07-473b-b798-328e0aa23932 · outbound

This paper cites Data, Data Everywhere: A Guide for Pretraining Dataset Construction.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Data, Data Everywhere: A Guide for Pretraining Dataset Construction

Reference 47

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source=pdf_text observed=2026-08-15T20:32:06.066902Z digest=sha256:0d26e2f671d7ae25bf1520018443570d50ebf7d92082d8c67a074f98f0ea145c

Observation 1e37ae55-b68e-463e-9f41-4676aaf3bc6b · outbound

This paper cites MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion

Reference 48

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.069675Z digest=sha256:d7af742c059182697f84337c94e744666bf6de1eedea3c513c3c3e489dc2aa5c

Observation 678afc28-725d-4084-a181-dc0729d2407f · outbound

This paper cites an unresolved cited work.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Unresolved cited work

Reference 49

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raw_fallback, observed 2026-08-15T20:32:06.664040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:06.072464Z digest=sha256:fa9550cfaaa38228f7afb66bcb81c1a08e7242d229d3fdfe0fe18881854ef48d

Observation cbc7dd52-701d-4c08-bb8c-243cd65eb4d4 · outbound

This paper cites Pruthi, F.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Pruthi, F

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:32:06.654942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:06.074811Z digest=sha256:331d37c79e3d7e276c5ecf210cf286f3ab86d5bde895b2cb53a5ac194949ce31

Observation 47ae2de8-57cf-4c1a-9f6a-5cdc1b8200e8 · outbound

This paper cites Balanced Data Sampling for Language Model Training with Clustering.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Balanced Data Sampling for Language Model Training with Clustering

Reference 51

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.077830Z digest=sha256:bdf56eee3069ceb244c6e016382d76a2f1bc2a47670606e9bd5fd1e7e7cb14c1

Observation ad82887a-a0d0-4be7-8957-fe8ca087b3d2 · outbound

This paper cites Rethinking Data Selection for Supervised Fine-Tuning.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Rethinking Data Selection for Supervised Fine-Tuning

Reference 52

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.080828Z digest=sha256:e608d9f07e6a1490e2f278179af464c9e23daac34a5d8bb8ccbcf879be121ca4

Observation b1be91f0-d13b-4893-899d-6a4aea02c107 · outbound

This paper cites SlimPajama-DC: Understanding Data Combinations for LLM Training.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment SlimPajama-DC: Understanding Data Combinations for LLM Training

Reference 53

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.084337Z digest=sha256:4cf8f19a5eaa9a2dc89dd1c18af134642c559f0850fc124702e8b6a4def862b2

Observation 1dfcad7f-426f-4d45-abfc-db99569f37b3 · outbound

This paper cites an unresolved cited work.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Unresolved cited work

Reference 54

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unresolved
raw_fallback, observed 2026-08-15T20:32:06.644257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:06.088451Z digest=sha256:9145a0c0363735950fea2ee84405986592d6494a016e2cc0f23b275000222134

Observation 8bd1ec75-c045-4136-a94f-ec7307554676 · outbound

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

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 55

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.091850Z digest=sha256:0dc3157ce017ecbdb1f3e28935a693dec58847cb2a33671511d8e258514e4e34

Observation d44ac2e9-ea97-42bb-a1cd-6a3f759e7ef6 · outbound

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

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment LLaMA: Open and Efficient Foundation Language Models

Reference 56

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no resolver link, observed 2026-08-15T20:32:06.095162Z

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source=pdf_text observed=2026-08-15T20:32:06.095162Z digest=sha256:dbf9712e78d7941a02ed99920ff35bfd98db476aa18077014141e6420f188aca

Observation 6632bf36-1b61-421b-bf5c-a0df4c4575fb · outbound

This paper cites Tunstall, E.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Tunstall, E

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:32:06.634869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:06.098475Z digest=sha256:031697b8907dadfec0aa6539f26c28d6d2310b01261002cf05fe7a35f772e242

Observation f162ce24-68c8-483c-bdb6-880643b52cae · outbound

This paper cites an unresolved cited work.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Unresolved cited work

Reference 58

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raw_fallback, observed 2026-08-15T20:32:06.625120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:06.101847Z digest=sha256:e2d5afc14addfb2722e8a7f5eb1208d473018963844bc98b7b05eaa46efb4d5e

Observation cc19f26a-1d82-4aeb-aa97-6cdadeaf3efc · outbound

This paper cites Weaver: Foundation Models for Creative Writing.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Weaver: Foundation Models for Creative Writing

Reference 59

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.105533Z digest=sha256:820657eb2cfee3741f367502fddc10806528b07f03cf04dc5ece2b988dbcf832

Observation 1558201b-26df-488b-9c14-85b487cd1831 · outbound

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

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Aligning Large Language Models with Human: A Survey

Reference 60

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.108893Z digest=sha256:ee0d6955453fef9fc3ddd35d529bf18da255003ede5aea5abef1d8b70d59c02f

Observation 58a20d5e-0717-4bd0-adc8-4543c0628660 · outbound

This paper cites LESS: Selecting Influential Data for Targeted Instruction Tuning.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 61

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no resolver link, observed 2026-08-15T20:32:06.112224Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.112224Z digest=sha256:b091c26338eab9eaf3f427b8c2851ce9b200585d34b354c903706f722307a412

Observation 6b9b2006-ef64-40f6-8335-f2be4f3e4f77 · outbound

This paper cites an unresolved cited work.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Unresolved cited work

Reference 62

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raw_fallback, observed 2026-08-15T20:32:06.614918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:06.115313Z digest=sha256:02461b1108ff34b8e486c48c0436eac3b68304880ee0d4ba88965770b3e2f07a

Observation 078d9d11-6672-483b-906f-1ac9d9958391 · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:06.118657Z digest=sha256:a8fffa4489ec8ef5b9502ebcc85ba4b17a3a37ab86962e878780c33fb1f5c3a8

Observation 494e964e-73f7-46b2-957e-9554948dab5c · outbound

This paper cites Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance

Reference 64

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:06.122055Z digest=sha256:2caaba23d08e0b1adb392c594ad14c3a13fcdc8d90cd43f743d25789243b695b

Observation b747885b-54fb-4515-b014-9f40ca1aff07 · outbound

This paper cites MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models

Reference 65

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no resolver link, observed 2026-08-15T20:32:06.125097Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.125097Z digest=sha256:e024ed187f00af88e929368ab7d516e35f481eede73276a33ae396bb93d6528d

Observation 90477259-6ad3-4842-9336-ef5caf3d43a3 · outbound

This paper cites Harnessing Diversity for Important Data Selection in Pretraining Large Language Models.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Harnessing Diversity for Important Data Selection in Pretraining Large Language Models

Reference 66

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no resolver link, observed 2026-08-15T20:32:06.128370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:06.128370Z digest=sha256:0b06e0cdfefa501abcececf0df1c32caa97a4454d77cd78bec028852e8f5a355

Observation d8597c42-56d9-4d69-873c-4963df8469c4 · outbound

This paper cites Balancing Speciality and Versatility: A Coarse to Fine Framework for Mitigating Catastrophic Forgetting in Large Language Models.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Balancing Speciality and Versatility: A Coarse to Fine Framework for Mitigating Catastrophic Forgetting in Large Language Models

Reference 67

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no resolver link, observed 2026-08-15T20:32:06.131827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:06.131827Z digest=sha256:69ec6dd1da034f5cf77d5c2efa8dea4d3f2572b516a3183571749588fbd4b113

Observation 2622082b-d9dd-45ca-929d-7bc1e2e430a1 · outbound

This paper cites an unresolved cited work.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Unresolved cited work

Reference 68

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unresolved
raw_fallback, observed 2026-08-15T20:32:06.604597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:32:06.135397Z digest=sha256:ce3a4835565f6cde72d5057585769d81169f18a889f7d78419422272a1ced83a

Observation 282c8e4c-37da-44a6-8666-ca8fe5c95b41 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Instruction-Following Evaluation for Large Language Models

Reference 2023

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no resolver link, observed 2026-08-15T20:32:06.138481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:06.138481Z digest=sha256:e54e93ab3014c9b198507f1691b90a950999c4334692aecb59a1d33179b50c32

Pith citing papers

Observation 007d0d6e-ed1f-4ae1-9b7e-1482812f202c · inbound

Data Mixing for Large Language Models Pretraining: A Survey and Outlook cites this paper.

Data Mixing for Large Language Models Pretraining: A Survey and Outlook IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment

Reference 72

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verified exact
arxiv_id, observed 2026-05-15T00:58:25.717361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T00:56:04.958757Z digest=sha256:f4929802ce89f652bd0320b73cda86a3d82edf81c923dcdf7d225ed8b5911107