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Paper Citation Record · LEDGER

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning

As of 12 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.14780.

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

pith.paper-citation-record.v1
2412.14780 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:58:35.552084Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f58c3ba3-88c6-4b55-b605-d1061e0b2194 · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:58:37.126823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:58:34.920998Z digest=sha256:a00c8bba0cffc51e9ce6f6ca02054d896ce8a92f8a8178636900f3aca20ac13c

Observation bc4799ee-39df-40bb-a438-d71729ed912f · outbound

This paper cites https://huggingface.co/datasets/allenai/ultrafeedback_binarized_cleaned allenai/ultrafeedback\_binarized\_cleaned · Datasets at Hugging Face.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning https://huggingface.co/datasets/allenai/ultrafeedback_binarized_cleaned allenai/ultrafeedback\_binarized\_cleaned · Datasets at Hugging Face

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:58:37.102916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:58:34.948667Z digest=sha256:1ca78d084d564e4fa03786afadae4e32b35f6384292e51a4b5861b65f4d3f77c

Observation 59d7bf8d-dd99-44ab-9059-7756045882c2 · outbound

This paper cites https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered anon8231489123/ ShareGPT \_vicuna\_unfiltered · Datasets at Hugging Face.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered anon8231489123/ ShareGPT \_vicuna\_unfiltered · Datasets at Hugging Face

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:58:37.036151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:58:34.991105Z digest=sha256:621256205f42682011ac7f23c1008db0f90c19e2800a7929859c929a85aeb2b7

Observation 6d6e3669-a926-4e95-866f-347eaf9a45a0 · outbound

This paper cites https://huggingface.co/datasets/Intel/orca_dpo_pairs Intel/orca\_dpo\_pairs · Datasets at Hugging Face.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning https://huggingface.co/datasets/Intel/orca_dpo_pairs Intel/orca\_dpo\_pairs · Datasets at Hugging Face

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:58:36.901245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:58:35.065820Z digest=sha256:17c8a573d51e1ac8ecaa063c1750d98bc88192ca31185d8ec6b849b187189af1

Observation 73de4fac-6c3e-4ec7-9608-87cd9f5bfdd9 · outbound

This paper cites FireAct: Toward Language Agent Fine-tuning.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning FireAct: Toward Language Agent Fine-tuning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.113146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.113146Z digest=sha256:927805bfadafcdecf5936109503af27b89fd6a59a6df3f52460ce28e4e7acf27

Observation 5c11f2de-c42f-40a1-a44d-d7102729d494 · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.120484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.120484Z digest=sha256:2818e6b4850d99237155a783d5719748ccbef38c6d4b2f3aa194e3ff10f63b75

Observation 6091153a-3880-4eab-ae65-1ae050cbdf06 · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.126395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.126395Z digest=sha256:0425aa00b6f67ebcdfa4096a5aa967b6f0212514f029231acac1ad840bdd8841

Observation d06d3c34-de68-46c0-8e9c-2234309c1925 · outbound

This paper cites Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.132157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.132157Z digest=sha256:67c0a10e460ef470ff137c1b29afe82dc05886f4f51a4bb619ce5bda0f13324b

Observation da35c0ce-cf31-483a-a37d-30eacf5dfd7f · outbound

This paper cites AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.137825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.137825Z digest=sha256:b7321f8dece5a7a1876605fba8792586c321f5975a9f955e2f946dc231ca6866

Observation 0e630c57-143f-40d9-ad7a-a5da4442c3cc · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.143384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.143384Z digest=sha256:c934f2b768218e4f66a34e6cd3080b698f3ba9137edbcee2856b8afbc9b14e9e

Observation b376b220-45d4-40dd-b580-1ef169ba9ee7 · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.149386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.149386Z digest=sha256:8e7cb62d6ef79e75244fbcf22d9443b444fa72214acaab288b7d1f9b35cf2e91

Observation e64f5081-8396-416a-89d8-72d669312a27 · outbound

This paper cites Rho-1: Not All Tokens Are What You Need.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Rho-1: Not All Tokens Are What You Need

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.157522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.157522Z digest=sha256:9fba6d5b86a66d8693c221ea87ae04e90e6b73459d5c0cd217a7fe3aa2674323

Observation 3c0b7c26-bffa-4146-8474-544d32572ca9 · outbound

This paper cites APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.162901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.162901Z digest=sha256:298efe631db5604bff4351dd54d5a2446a75e8866677eea27859d467398385ec

Observation e8c5aa6b-39c7-4ec2-88c7-8de2dd7111ad · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning WebGPT: Browser-assisted question-answering with human feedback

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.174835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.174835Z digest=sha256:4412d9d538c3aaa29a772406b36a5eb564c987b2e6beffa3d2ff65c9aaf49473

Observation b9a7aa07-df36-4207-89c6-e15a823a7a92 · outbound

This paper cites KwaiAgents: Generalized Information-seeking Agent System with Large Language Models.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning KwaiAgents: Generalized Information-seeking Agent System with Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.180929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.180929Z digest=sha256:6f6d6d4812e9b896806a888dde28123d6930d2144c56141b675b6bd722bf405c

Observation 9ce62902-c422-4470-8b6a-90bb3a602132 · outbound

This paper cites ART: Automatic multi-step reasoning and tool-use for large language models.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning ART: Automatic multi-step reasoning and tool-use for large language models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.187257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.187257Z digest=sha256:d37a6a6660201ee60ba31fcd228cbc0b22d5e0e1175a8112783edcd89df59595

Observation bdf7e970-9dce-4e6f-bf3c-424fdad39ff4 · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Gorilla: Large Language Model Connected with Massive APIs

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.193686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.193686Z digest=sha256:f66f3e198de5c698497c0f6fc37b518b578264936d643c7b8f4e7b14a2b11ce9

Observation 53fe0aa0-3c06-45d1-96a7-95ecc73423a3 · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.199183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.199183Z digest=sha256:dec7c8b352411e79783a54f93c6ba1437c32da78aaa063d4da7814a27e51e62b

Observation 93e1e839-4e53-48d9-9192-7092dbe6289c · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.206936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.206936Z digest=sha256:edb15c310e95cc28cc5d29662feccb3a1df3a0c0c4015d36dbd2d616ff7e3a26

Observation de0168ff-58d0-4b09-b412-f64a9f4dda49 · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.217687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.217687Z digest=sha256:a88513afbad62a925953bb4796cf079e8ef063582b0d32ab63392948429ce04e

Observation 4f87fbcd-5ce9-493f-941a-0d3fe2f1cf8c · outbound

This paper cites From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.262665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.262665Z digest=sha256:9db2a2b5646b79d806e38146aabbbfd1281c54e8a949c36ee36744a8f614a6cd

Observation de9526c5-3547-481f-9692-dfb5ee1fb006 · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.312882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.312882Z digest=sha256:8d0753e268d28c8e14d954d5ff107948859e264d7a06931dc28d13f498eb473c

Observation 1ce8f07c-1553-407b-9fe1-ec273117cbb5 · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.348171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.348171Z digest=sha256:9d532288d858a77ff5997c9f0180399b52c353f9a5cb048f6617b44ed81c021a

Observation 63885c75-eb8c-42af-ba28-126fc00f4aa8 · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:58:36.795852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:58:35.391102Z digest=sha256:143088790e9bc17a16d0cab4cfb34849dda4b41d8b6703e2859af9ed762f680b

Observation 3f4dbf98-f7aa-425f-ae5e-957ca9b207e0 · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:58:36.765960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:58:35.437592Z digest=sha256:a5049bc242b913c5fd0aed8f0b6a08f85af8dec0925225558f111f66d7f1d8d6

Observation fed62767-fbcf-468a-b10a-8cd49183dc01 · outbound

This paper cites ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.483305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.483305Z digest=sha256:6d2a96447a50a85dfe74f82a6dda9c213214f2d1d17b0963efb58da02d656e9b

Observation 4cad892e-1045-4cb4-98c4-8377214d1d90 · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.488943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.488943Z digest=sha256:fc2f37b33d95fca8ec81e000a93a4353c4641e0bc93855ae5f0db526b7f66607

Observation a9af175d-7295-4d9c-b53e-3ce11108ed7e · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.494381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.494381Z digest=sha256:e38466897be6f8a334901560a881e2eaf1b0495e42965ed67d70df72054c70aa

Observation 8fd7d44d-5821-4983-89cd-c8685f5a6a08 · outbound

This paper cites Chi, Quoc V.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Chi, Quoc V

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.499233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.499233Z digest=sha256:ca8f83c0cb0f2a7180904b5cff3127a51509f7134f8afc098bb86debed0274c2

Observation 80e0d72c-d03e-407f-8985-2302029e9c6f · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.504075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.504075Z digest=sha256:4a573d48046754473366b38976803f1205838b276d2a106f5088868d85f7d972

Observation 66a23c88-b019-4770-b4dc-224bd85e94e7 · outbound

This paper cites Preference-grounded Token -level Guidance for Language Model Fine -tuning.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Preference-grounded Token -level Guidance for Language Model Fine -tuning

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:58:36.569231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:58:35.509586Z digest=sha256:565f0cb3a3c8636bda6cf49a0965a1a43ef79b5e2850cd968294ab2417ccc13f

Observation 696f4ecd-c4b1-4b89-8580-25c390960553 · outbound

This paper cites Preference-grounded Token-level Guidance for Language Model Fine-tuning.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Preference-grounded Token-level Guidance for Language Model Fine-tuning

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:58:35.840963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:58:35.514602Z digest=sha256:626dc7203cca00858f6d24c75ce6f835e5a510d490aea3c93f8231bdbd99058f

Observation e2307e48-ed46-4964-9ca1-bfec3d447cfb · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.520379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.520379Z digest=sha256:906ddc5ac2c44ec1d87dd276c0d67d51f301cb613285788c05a01795bfe40c34

Observation d91e843c-2a5f-491d-940b-e49dd3f4fd37 · outbound

This paper cites Narasimhan, and Yuan Cao.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning Narasimhan, and Yuan Cao

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.525730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.525730Z digest=sha256:c07b01ff158ed961e29f25be45c60b5434512ce735334732ec88731ceffb46fb

Observation 47967951-6105-4ef7-aee4-fff0429d7ceb · outbound

This paper cites AgentTuning: Enabling Generalized Agent Abilities for LLMs.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.532069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.532069Z digest=sha256:9a954b0c4395f7e6328a6a5f77510d5b889c09ac7fdc6e4036e1a913472179a2

Observation 1456206d-6908-4a10-b83a-b71bfc672459 · outbound

This paper cites ExpeL: LLM Agents Are Experiential Learners.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning ExpeL: LLM Agents Are Experiential Learners

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.539357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.539357Z digest=sha256:e1fa393d89575d08dd27eb2a1048cbb465e57f75f42598ca5b011401dc47c9f3

Observation 718e36bb-4fa8-4aae-9a50-4f37e909a7d9 · outbound

This paper cites online" 'onlinestring :=.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning online" 'onlinestring :=

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.545586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.545586Z digest=sha256:807498040d003bd6d0048407e57878a44a2e9ae9a7e056f3f864481dcfb5781b

Observation f041ace4-61d4-41d3-89b5-79ca838b45a9 · outbound

This paper cites write newline.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning write newline

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T11:58:35.552084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:58:35.552084Z digest=sha256:a8d29d510402a98e1361191853686a2355d71d1740ef460521103301b10f3856

Pith citing papers

No inbound Pith citation observations are available.