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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 2026-08-16T06:30:59.297886+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:f9d3ad688d6d49ad62779386ca3c76c7dfef4d02295c98599a30283788a7ffce

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=sha256:284d36c4a62c80d2c807f5a0f845b4bfdad17ad5fdf39cdcd1ed7a9f853ad3dc

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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verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:05.924571Z digest=sha256:7d3456d1f898a44557061de7ce2708a396c6bd64254d05ff03285a5afea04aab

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:05.930955Z digest=sha256:7011963c6b8b2cb2646b0c808773416c5799dadde9012ab327adb3557fded1b7

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:05.933955Z digest=sha256:ef3c09f4df2205ff77127541c8107094a2db484d6916bbc95c1684deb22ce3bc

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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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:05.937373Z digest=sha256:89bffa0f3f9595af8bf3c10ca9a8e636b650dc3d52d598425843d750826f992b

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:05.940394Z digest=sha256:b8d10fbd8b4c351c3d22bf7768680ba0c3a155a19c06dfbbaeadc5b46e1431a8

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:bc6eb41e4174dc6d5e124106e4def41827f981fdec1adb07e82643492dede177

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=sha256:2d850abeb48d5aac5b32fb421922d49867fa750f2a51115462f0aaa4622cf64b

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:f6b454687af6295d03dbdd2f3cac56dd8670e1ea8b34a367354e112938b31c05

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:05.954779Z digest=sha256:189effa480db604877aeb6356e2334f07fcb58cb3a371b77a9f05a64a89d26c7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:05.957747Z digest=sha256:7c5af5ee9b388611aaae8d42f74f4770ec22edaa64237e2ef2b826c68b60b579

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=sha256:8ec39020096f13d38dee027ceb15a52c332bc76c4fa95acdd3c134d7dc433e44

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:db64d3345a73c248fe4858212ebe6f83694abdd3be1e4e1b0eb31a5149cf2cf2

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=sha256:25fbb558c008d59a208f18952dcbb07e55611411a59acbdc02539fe4a97eef75

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:05.970530Z digest=sha256:d044069694f9fabd728a3d82b9640510c366ea2db36ed0c70ddaa30325a68b6e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:05.973643Z digest=sha256:d517176aba2d4a1d3c94fd3e0e28246d64defa3d29fa643dcbbc1e7c4b26d61d

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=sha256:1ae53ab09f3df6c506e1cbdc2bc2a376945e8b2c2300145e7044a643010c876e

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=sha256:9b38124c0b3b416388cf2ec564b9a9f178c4edeb71ca0083374e90360b74306f

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=sha256:70996a942af8f45fb9e0efd34bb6407545815bb1d05dc8af5b6802c78558f65d

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:cd18efb7eec6580aa1d25c065c65e3684b336409c1eb30ffb390714be92c876a

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=sha256:6cb838f94cb906a69c5fc92355d556e350a3976285f7d0f5980be641d1d0637c

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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:05.991790Z digest=sha256:8c718000c994830c0a30dbb05faf243aa77da1559c925738be56b466030c64ca

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:dab2fb34bdfe71a17f3328740c6704e2a5a985b0c6df38d4b498f1a479e55873

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=sha256:310ee391a8980a8659b35a239f83a8b15fa6ef76d1935403ff498d51ac526cbf

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:06.000743Z digest=sha256:d458481e643daa3306e8a3227741a21f009347e1d67e45deab5c8b4037302005

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=sha256:0908cc9dbd7a443fbc6a30ed28f69e5ac874b04610cb76d5fa112814ba30f3f7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:06.007125Z digest=sha256:f518ddfc95d87555262a73e51f11349453f734fde916997a29534568480d38e1

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:bfb4ed8fc7e32426d32d158c29a3f4fbfdd6b7543795ab98070986a6d4259751

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=sha256:92eea75da4f998775e975c2716ac06359abfc9ed812c93897dece1d603456bd5

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=sha256:427cc64f6d214a86f109263e1370b31b74b629d0fa8ecb333da0148c0313419e

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:bbdce779b2cd07fc729412ed028aef4994cbbf5910976e834f9dd069bcab3607

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=sha256:4ddf813217c64d8dff6b6f56333227b3dffc229d57e5fa467a444b3d486bb23e

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:06.027154Z digest=sha256:743bc8957d7e29c7ff5e8bb81d7e4e324948f2a770622a019f044e84490aa549

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=sha256:68441e45cee09e301b389a54683ccc45c27e5a841c583c4fb092fb14c733f7bc

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=sha256:45a5d211e1aaef3dc84250b6450f326991b664d3a8bd4dd139a80342008c006a

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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raw_fallback, observed 2026-08-15T20:32:06.693799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:06.037585Z digest=sha256:0d6bea958acd31a29674d4b3b82dc8bd0db46cab5c5e6e617f940586d8b452c3

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=pdf_text observed=2026-08-15T20:32:06.040832Z digest=sha256:c58cd8abc08c8111756c84295318b3fdc9b4cc3f6570f75b84fc194fd295f410

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:06.044362Z digest=sha256:7eef4e6c6e96135ecc1edd8a08b5e0f9bc7c331bd5f802c78673cad76cdea4ee

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=pdf_text observed=2026-08-15T20:32:06.047770Z digest=sha256:e3486d2b5d3d5bae7624a54797b862b2e0a41eda9831d046832ab924577d3910

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=sha256:3931791efee04304c030f37d3fa7bf02d11c597d925a725b6e71d804e944fccf

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:06.054431Z digest=sha256:49d8e32feefa682c9bf03026df098df4a9bbc7c8f1d14f67d958df39983eaf53

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=sha256:570df3f1846e95c4eac7841ee71127528fe4fbc7a89d4f41b23a4e6fe5051d44

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=pdf_text observed=2026-08-15T20:32:06.060570Z digest=sha256:aaf1a81895689eff9a5af99d2e1ec647c9271de39ad06cf1014cf7d019d65218

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=pdf_text observed=2026-08-15T20:32:06.063773Z digest=sha256:a272d7386aeaaa508304c58b3c4fad44fe21c7a6c7bd926153a423ee8203aaf8

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=sha256:3e75e7cef3fc22b6a2dd1a4858d6909c0612f19b093960de65ebaea1e474809b

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=sha256:2c3e780388d17c6153c69b2d4bd3c657ed912ec98a97b7b846a8c89809708332

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:06.072464Z digest=sha256:af5a91faffef5dba921f1607cb08a8328b60474b7ed7d2d167dff51cc03f53e4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:06.074811Z digest=sha256:39bc8aefc3cb418fe52a2a7030359c67856890218e7b8a47c16b8af7415eddbc

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:06.077830Z digest=sha256:2c40dd8a11e981aa0996e2ab5f7f95e34de681eca9faca81bd3037475007485f

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=sha256:3e5346d8af4ddaf1b5df75e8bbf4bb7fba8d482b04ef62eee02ab5e5d26de7ec

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=sha256:71668af77e1f4ad8b5a976e2d4f1556f3132eb8ceaf813600183532370d1b939

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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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:06.088451Z digest=sha256:1c37bec8a4e92eaca33d120fbefef55fdf83932be399fea09053d6351e942807

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=pdf_text observed=2026-08-15T20:32:06.091850Z digest=sha256:5df0ada9cf9bd549373ee13fdf40f909c1c8e4b1817309910bd7e40365ef1082

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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source=pdf_text observed=2026-08-15T20:32:06.095162Z digest=sha256:caa4837e8784587599c629549c079c811d5780046da7562e07efd77e83faa028

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:06.098475Z digest=sha256:e2c049fab57ea89000df5a173b865a674e18816fa082263530808322d75e8ffe

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:06.101847Z digest=sha256:889515d208be22e3a83f09510dc6d820de43c23aca1d7c153a9286a3bd089842

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=sha256:4186dfbc9d6a893601b25a07dea6e7b371b732667b4f006b77f47a348c841aa1

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=pdf_text observed=2026-08-15T20:32:06.108893Z digest=sha256:e9678990975c71439eda966b4873f43389f591f01f1b136fe425dfbc5b3cdbf2

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.112224Z digest=sha256:8a5b470e9d65bde808c62bb51ebe5c640c7f83b80d25cf3eff3b89c910b10876

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:06.115313Z digest=sha256:7b764310187457c698f58bb829ad06d0cb74279846b2ad4aba8a077d43141931

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

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source=pdf_text observed=2026-08-15T20:32:06.118657Z digest=sha256:c948fbe2390933337048d7051a3e592fd3cb18d97f98fdee01bf97ce6b95611d

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

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source=pdf_text observed=2026-08-15T20:32:06.122055Z digest=sha256:93ede01a8536946207bf87a4f71fec67224b3bd183dfa2c03753adf7787f4b3c

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.125097Z digest=sha256:3ffd2eccf75b2c61040e53a6127bbe846357e81907212ff6270e08c94579fb22

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=sha256:7cc1ff9756ac666207199a98d95282becef92f67fab97ca5c43e17cec3672145

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:32:06.131827Z digest=sha256:7576a240f766d250015b81b8fa0c8ffed8ee204e4c0f74e0eb1fc5d063019b32

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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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:32:06.135397Z digest=sha256:ffc246029aa9fd24c54aa2e40a8bbd99403f2b81bbc624013a48b4d701f956f8

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:06.138481Z digest=sha256:2bc8f4a0b39fcfad3360d1c49831963796fb1de27b944b07064fd03cdcddcd58

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T00:56:04.958757Z digest=sha256:fc096580b4df11f2877dd7d74f67fabc89f7dcbe98558ae9dc27d7711f60de40