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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T11:58:34.920998Z digest=sha256:390744f705e86fdfe73fa9d4ccb32d0631834ae1156642a8184232e6c0da8a38

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T11:58:34.948667Z digest=sha256:2163d94272ff0ae921520d0441ff0a85427504b8f15e90cdcbbeae5046882f29

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T11:58:34.991105Z digest=sha256:c3cad0655c3d37b3070cb08c2ca95fc2e50914dbf534b8372c721e73c79d6adf

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T11:58:35.065820Z digest=sha256:0a6627d64ec518877df27a159377a8e49a894c6391e69ee9b8d03b3dff148fad

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=sha256:5d7fa9bbf29bace3d3b8b0b40d9ae6680b4365d971d721a9f1f50931c2adc39b

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=sha256:3bd43b9d126663e629f812125508cae79af764bd9274c5ee35f492e5e996e2c0

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=sha256:5a10b51e8baf71dfdc71295a64a85076892a49196441df7f3fd8e141faf34c0a

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:dc617e0e0a7a229ad381db8172f26c786206ab2352e3e9f4e8cfc7dce3a8a5fb

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=sha256:7d388c3aab276f4de3945f45585e6cd9a13c288f0bb076a4bf5df5ec70a56a1c

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:d632db6b90c9322a547c53f855e155611c69ec1dba526252e501f65638b87115

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=sha256:80135532a9e1365a65a32be948064f303e951cef1658fd3412eccfe229952c53

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:fe32c6bf7e387bf091b8bbfd1914f0fd335a87b5a68362897816a3374668e8c7

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=sha256:10472abf22ab9fdd4b0fbe84329312f778c6283d4b36a043851b46ac467df3c3

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=sha256:5b8baaac6388ecc502aa0f9ccc8c4a9e2b6a9a5790f0f25e4c9fe28991cf98fa

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=sha256:2319577aa9a482cdbfdbb67acd2fd3f1f626ea832a732a101ed2756aec63744c

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:b9bed813447fbc3dc7d798a47a3c0b9c1a3748ad2da52eebbe440c6eeb5e52aa

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=sha256:95db2c87bd6b51150ec0421f2762f7e04dc28e5697c84ffe9a43e8dcb41d0eb2

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:f40dc729bd4308cbd0c1b87a9b0ed8874d3f2ee7856b05720c8a0c8b5775e113

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=sha256:03551d56a3f5a934b5035515c73eb8d092d1ef3fb0e12eafa1c9e7b7fbd52a05

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=sha256:9c244b9e340dc306ee004c2d5f907d17cd0534a0124b9b17f0631281ae79d539

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:e693319325edf989c2a55bc36cebaeaf31628aaea0d6feb66244b39293aca25b

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:c0f63e5be8c3199ff72380a453e95c2749a79d603c042c63f5aec5730c793639

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:cbe1e2eba3ab4f07cfe4df29f2a4047e553a9c88fa7ffceb94ce5cb88ff4af24

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T11:58:35.391102Z digest=sha256:42588884eded060afe3609211824706b9fa6a9cbc47e83981e21ebfa458d2295

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T11:58:35.437592Z digest=sha256:ef9f934f7944a039555d14261120de6fc928890f8af909b2d1abc9801e8d576e

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=sha256:037d10a1ecf758f8a6b1a94548cea40fc3fd04fcb6b7e5aa1b050fa7c3f40de7

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:d745f73871efc659ec81e810da8b2e889b764fac40b58f46ed99a62d968eda3f

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=sha256:31c8c300c4c6a122292252aad73f98a9f124b82578cfe4e543cec5225d46eac0

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=sha256:0503b1f99ea732b4d1886b0b52fe10e89d0b88a9e7b03459cfff2ee85dfadf5e

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=sha256:7805d0e9abbd20f2a7ecbe4648d91e56d5e49baac472bb1e652058b43f9833bd

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T11:58:35.509586Z digest=sha256:84fb641aa94fccdb105849429417c0b6abe3eafeb989ddd87e26aefa3f3d79aa

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T11:58:35.514602Z digest=sha256:c5492ba1cb025933af8c4575f7da20748d04bf33b1c9866b2af81c05ffad440e

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=sha256:50e26e55fd4bbfbf93c566073e93460f3dab7524b0c605da1dbb21527046abab

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=sha256:505feca9b9b6f10d0cd87fc28dcd70700ef6a677887acee3bdcb67b49f711c2b

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=sha256:9bb248ab6d1491f3946aaea9067bbe721883bc1cb87726c0990f1a6f87c552f1

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=sha256:833c335caa4faed5456d98275010dd1b72ded5be51b14438a066ef67e9204e0f

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=sha256:6529de564091d497a81d77c4f0d95f8f04440a04aa3d0547a59bbf514c9da4b3

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:a15b726cfd4ffd57e2ea7571282d4f431d20bbc03278d3c89c38ca36bba4b99e

Pith citing papers

No inbound Pith citation observations are available.