Pith. sign in

Paper Citation Record · LEDGER

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning

As of 16 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 2 inbound Pith citation observations for arXiv:2506.12860.

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

pith.paper-citation-record.v1
2506.12860 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:19.702029Z

measured 51 of 51 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:17.309691Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:32:02.805236Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved41
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6478d1d1-643d-427c-be89-2cbe697394ca · outbound

This paper cites OpenAI o1 System Card.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning OpenAI o1 System Card

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.444466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.444466Z digest=sha256:ede0932d8d8cd0361a5b3adc7c1ef75c5d8cc5406f998b469f6557aad8be3fb1

Observation fe82fa2d-2daf-4275-b790-4d4b263eb510 · outbound

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

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.451305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.451305Z digest=sha256:6420b3bbe252392b3b362995431e9ec3c9e23e3a76ac35a11939038346ce469f

Observation 6c24ee52-db13-46e0-b614-52d37ccab6c6 · outbound

This paper cites Reasoning with large language models, a survey.arXiv preprint arXiv:2407.11511, 2024.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Reasoning with large language models, a survey.arXiv preprint arXiv:2407.11511, 2024

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.457178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.457178Z digest=sha256:9b753ea7c975b1627444e9005be998337d57994f232cea705064483d2f16d612

Observation d6e111b5-1ee3-42bb-a74e-f579c0bb7bc2 · outbound

This paper cites Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.462076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.462076Z digest=sha256:8a3418d0ffc2e4263fd27e54276b6ab1593517607ad79b424897fdb9ad5e55ad

Observation 9022a234-6e97-4e6c-96b6-c67fd3edada0 · outbound

This paper cites Competitive Programming with Large Reasoning Models.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Competitive Programming with Large Reasoning Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.467637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.467637Z digest=sha256:308a2289b67825dc7b25afaafd2e50f23b5b81b861881c328648fa925d27fa80

Observation 731500e5-d9e6-4222-b1f7-6c1765cda600 · outbound

This paper cites LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.473338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.473338Z digest=sha256:005ff69ff65fddbf0401061ee419a143da67d20d86cc99b805267abc7149a6d4

Observation d69bcdc8-f6d1-4524-973d-d000efd419b3 · outbound

This paper cites Enhancing customer contact effi- ciency with graph neural networks in credit card fraud detection workflow.arXiv preprint arXiv:2504.02275, 2025.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Enhancing customer contact effi- ciency with graph neural networks in credit card fraud detection workflow.arXiv preprint arXiv:2504.02275, 2025

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.479355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.479355Z digest=sha256:416e758fb66cc970930ebf652fc8c06553b51a58b5148d2879c4c03f9dd68cb0

Observation cab37711-97dc-4fd5-92ba-d444732352c4 · outbound

This paper cites Sky-t1: Fully open-source reasoning model with o1-preview performance in 450 budget.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Sky-t1: Fully open-source reasoning model with o1-preview performance in 450 budget

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:13:20.988249Z

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=2026-08-15T20:13:19.484914Z digest=sha256:31c703b379135b0c326b933fcdc6111d4f03c7391247c8a101de9a16e8815c06

Observation 284c809b-92f2-4ed3-98d1-2af787fcd0c7 · outbound

This paper cites s1: Simple test-time scaling.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning s1: Simple test-time scaling

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.489730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.489730Z digest=sha256:e10dca37005d644a53b86a10da83d4fc382bab6275411c637bf65b10336c5b2d

Observation e7ca230a-1160-4478-9e47-f279a4a20fef · outbound

This paper cites LIMO: Less is More for Reasoning.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning LIMO: Less is More for Reasoning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.494991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.494991Z digest=sha256:b315f096cdea5e6084204a15f4bed7ab1caf1c1e9fc6fe9e44ff1ff4a257722e

Observation 4a6725a9-3105-479f-ae7a-59515fe3a52f · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.500677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.500677Z digest=sha256:d543ad1b1df467e2cd78fdd47ac05d4045b7bcc9d5c93d89cff95537a516ebf6

Observation 410d4bae-04aa-4806-92f5-e0260bd428de · outbound

This paper cites Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.506091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.506091Z digest=sha256:8ead60af99d22329ce05eca206c9544b6410d79599aa2d565349d0ebb6de3a5a

Observation 0b9f4a97-9abd-4318-b919-3514f1e14a99 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.510923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.510923Z digest=sha256:b4417485fd630532442baff9e5d57147f0b9704b3609441b23a0288e0690002b

Observation d681014e-746e-4422-96d1-24fa5647f349 · outbound

This paper cites O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.515683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.515683Z digest=sha256:4317bf671422e93bd230573028b3500fe7f0840c33577aba9797d15fc82bb36a

Observation d8f85ba2-8d9b-4677-9e25-45d9fbc472b2 · outbound

This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.521206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.521206Z digest=sha256:2152151f9cbaceaaacd4af7a51577a8a97566085d688004ff39b43a4c6e2b3f3

Observation af617170-69e0-441a-bbd2-ea102ac5095e · outbound

This paper cites CoT-Valve: Length-Compressible Chain-of-Thought Tuning.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning CoT-Valve: Length-Compressible Chain-of-Thought Tuning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.526332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.526332Z digest=sha256:3b1faacf84c7351dce96fe54bfd3a265203066e70e8bae7f3685d8b2799e0e14

Observation 4b8a67c8-74a6-42b2-a81e-9ea4a99fe009 · outbound

This paper cites Tokenskip: Controllable chain-of-thought compression in llms.arXiv preprint arXiv:2502.12067, 2025.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Tokenskip: Controllable chain-of-thought compression in llms.arXiv preprint arXiv:2502.12067, 2025

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.531298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.531298Z digest=sha256:08a4d35638d3b486ee230eadc8ebb56acbe25bc0e3244677c393748b2ae54bfc

Observation eb9712c2-67a8-4cf7-8572-5d2be9f59159 · outbound

This paper cites Understanding catastrophic forgetting in language models via implicit inference.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Understanding catastrophic forgetting in language models via implicit inference

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.535919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.535919Z digest=sha256:76fb3e3c4d3cc0840e5beb0d071009065231b19a6ab70dc5372e4d043fff710e

Observation 11e8e042-dd9f-4993-b8a2-6c2c0e7b3944 · outbound

This paper cites Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.542361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.542361Z digest=sha256:231f517cbc60bca7945d363b08abe0a79dedf14aaaeae36dcfcd0f16674bbf20

Observation a4d4df8c-4ebf-47cf-a123-bddba362a9e8 · outbound

This paper cites Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.547205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.547205Z digest=sha256:60c9931d997af98096d30a412479a0527023c0e47d49782c13adf24eb6098f6c

Observation 9fda95af-33fa-4545-9992-f2bd59798996 · outbound

This paper cites Note on cohen’s kappa.Psychological reports, 65(1):223–226, 1989.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Note on cohen’s kappa.Psychological reports, 65(1):223–226, 1989

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:13:20.960956Z

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=2026-08-15T20:13:19.552305Z digest=sha256:61785bbc79a6de8f4d5f3b565ee336fc4f261a52751089f021d8fa152bffee4b

Observation 77cc036f-07ca-4040-a651-826bbccb146a · outbound

This paper cites Let's Verify Step by Step.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Let's Verify Step by Step

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.557196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.557196Z digest=sha256:2ab742a403e8e516633c9d43b05b8dbb812bd25036b68f0156117507a659733f

Observation 6ab8ea00-f355-4a11-ad97-8056d7fd460d · outbound

This paper cites Demystifying Long Chain-of-Thought Reasoning in LLMs.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Demystifying Long Chain-of-Thought Reasoning in LLMs

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.561839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.561839Z digest=sha256:bdcf8851968e884b3218e16e6c65415163d595be42e3368cf60ec029411d9535

Observation 832a2b08-852e-41c7-8c19-eb99e36a0870 · outbound

This paper cites Data engineering for scaling language models to 128k context, 2024.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Data engineering for scaling language models to 128k context, 2024

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.566969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.566969Z digest=sha256:fe8319ed3afb5cdd0cd1cb479d998ce26f38fdf3872f3ebf539194ae67969674

Observation 0fb71177-5120-4b2f-8915-acf63f0d1539 · outbound

This paper cites Huang, Jie Fu, Xiang Yue, and Wenhu Chen.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Huang, Jie Fu, Xiang Yue, and Wenhu Chen

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.571639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.571639Z digest=sha256:f2ddddc0ab79e60a316e4ee4c14b0959a955ce32047af57efc4e3ef4b3d2a8e7

Observation fba6b2e5-4321-4c40-aae9-59d80ccb4f49 · outbound

This paper cites A survey of transfer learning.Journal of Big data, 3:1–40, 2016.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning A survey of transfer learning.Journal of Big data, 3:1–40, 2016

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.577083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.577083Z digest=sha256:ba5d44a362b9c8bf5d10e23a40161acb90192e1a1a642d9dae09371686d5c7af

Observation d821aa8f-7943-4686-87b5-3b53e9a99659 · outbound

This paper cites A comprehensive survey on transfer learning.Proceedings of the IEEE, 109(1):43–76, 2020.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning A comprehensive survey on transfer learning.Proceedings of the IEEE, 109(1):43–76, 2020

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:13:20.915080Z

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=2026-08-15T20:13:19.582011Z digest=sha256:33bd847c47def135396dae671952c533bfd73af3113a447a50a66c5782458bc4

Observation 4bbe045c-425f-4cd5-ae92-5cee80c3c80f · outbound

This paper cites Qwen2.5 Technical Report.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Qwen2.5 Technical Report

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.587765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.587765Z digest=sha256:778581579b29f837442fd3127674d86bd189bd3fcd544b6de188a1759dda5609

Observation cecd0ffc-442a-4c58-83a3-b27310fde19b · outbound

This paper cites Llamafactory: Unified efficient fine-tuning of 100+ language models.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Llamafactory: Unified efficient fine-tuning of 100+ language models

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:13:20.897878Z

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=2026-08-15T20:13:19.593456Z digest=sha256:caa28207a2ad1429517f12533e1191122fb4a3395b249a581384837d14331ef5

Observation 757e694b-d357-42e1-ad9d-01909fa8fc9c · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Training Verifiers to Solve Math Word Problems

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.598384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.598384Z digest=sha256:4ae5274fbf366358eda84a2157fd0c4066b39f11ecb2acf5e0e16d57c98284d0

Observation 248f92f3-2cd4-425c-b5fb-57b869915726 · outbound

This paper cites Solving quantitative reasoning problems with language models.Advances in Neural Information Processing Systems, 35:3843–3857, 2022.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Solving quantitative reasoning problems with language models.Advances in Neural Information Processing Systems, 35:3843–3857, 2022

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.604579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.604579Z digest=sha256:d28b64a829e2ea4c7abc1e3f228404f66bad765a2eefb446677738b56493af8f

Observation d1337496-15ee-45b9-819e-6e69766ed375 · outbound

This paper cites Gpqa: A graduate-level google-proof q&a benchmark.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Gpqa: A graduate-level google-proof q&a benchmark

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.609291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.609291Z digest=sha256:34b1038858752a35ca80d7c5835167c6f830874fe9fb0350905a5624c4e82262

Observation 1fc9a099-61b7-4da5-87e7-922a127fcae9 · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Mmlu-pro: A more robust and challenging multi-task language understanding benchmark

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.614233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.614233Z digest=sha256:101cd67281b5aef31d6c0d36dae0a46e387ab711049631583042c8fef4dcf3ea

Observation 9080ec50-7e1d-40e6-a940-955d5fd8fb60 · outbound

This paper cites Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.618743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.618743Z digest=sha256:642722a2edbc05ed6c1952cc5e7e2283e1999129535b4780f505cce2e4882520

Observation 7f8fd240-236b-45fd-b009-a50246a9ee96 · outbound

This paper cites Minicheck: Efficient fact-checking of llms on grounding documents.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Minicheck: Efficient fact-checking of llms on grounding documents

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.623791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.623791Z digest=sha256:51a7be0834c2269eb83aafbd29433fdb3180b64b6ce9a1bf2ecd5745d9eebd78

Observation d1237f9f-dbee-4c95-9547-6ef319a02bc8 · outbound

This paper cites Why rare diseases are an important medical and social issue.The Lancet, 371(9629):2039–2041, 2008.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Why rare diseases are an important medical and social issue.The Lancet, 371(9629):2039–2041, 2008

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:13:20.839142Z

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=2026-08-15T20:13:19.628374Z digest=sha256:54e8a4d368c61f417035e0069e9cfe016f0da7527c3a9c334667231e84ed3208

Observation 85bfae40-0013-4f7c-a721-94746c67ab62 · outbound

This paper cites Significance of the rare event in geology.AAPG Bulletin, 51(11):2197–2206, 1967.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Significance of the rare event in geology.AAPG Bulletin, 51(11):2197–2206, 1967

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:13:20.822276Z

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=2026-08-15T20:13:19.632687Z digest=sha256:b92e7faa04b3c04b29d60037ba226bca54cfcbc5465557c47671f7729079a75e

Observation 50ae5d0e-288f-42dc-a48f-a27d6bc31549 · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning, March 2025.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Qwq-32b: Embracing the power of reinforcement learning, March 2025

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.638393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.638393Z digest=sha256:b5ee4c5e7cd8991289d4b536a1090bca8e9e03e1afa3bb3b821e6d40e2a434b3

Observation ccad7bd4-bf18-4b00-88b4-642f8342f311 · outbound

This paper cites From System 1 to System 2: A Survey of Reasoning Large Language Models.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning From System 1 to System 2: A Survey of Reasoning Large Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.643131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.643131Z digest=sha256:a1aa12ccd5fac66fb1523e49d015d22cd2760354c77541a793ed622843410f33

Observation 91d0c8f7-0616-4232-b332-d8e27cec8ae8 · outbound

This paper cites Reasoning on a spectrum: Aligning llms to system 1 and system 2 thinking.arXiv preprint arXiv:2502.12470, 2025.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Reasoning on a spectrum: Aligning llms to system 1 and system 2 thinking.arXiv preprint arXiv:2502.12470, 2025

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.648436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.648436Z digest=sha256:0519a9290cb287b8a1533403a473d06ed6e1c3405d39f1cd8de26c030239d381

Observation 0e2059b1-2d5c-40fa-9711-59a7e9ad626a · outbound

This paper cites Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.653697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.653697Z digest=sha256:822f1e5de7ffd7932049051bf73db687282a20d30cb429991e009c567d418cc9

Observation 359673b4-0121-41ec-a1f8-eb6ce2f73693 · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, January 2025.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Open r1: A fully open reproduction of deepseek-r1, January 2025

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.659151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.659151Z digest=sha256:8c077bc1d659870257be1defdcffdd158e1ec495aae035514dedad239bd9fa6b

Observation 78baf988-73fd-4ad1-b3ec-1dacafdef125 · outbound

This paper cites AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.664070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.664070Z digest=sha256:61d174161f499d7c346a1c01b2aed4089ec1b77ea3e5f11b2eada3726856310b

Observation 7123be22-f343-4591-b8fc-350f7f20fd46 · outbound

This paper cites Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.669504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.669504Z digest=sha256:36cdd56155324478711976c193e57228e5c8eba3c76f9df6e4dcca9989f1beb1

Observation 3055ca9f-cded-48ba-a6a4-2936abe7b363 · outbound

This paper cites Chain of Draft: Thinking Faster by Writing Less.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Chain of Draft: Thinking Faster by Writing Less

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.676107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.676107Z digest=sha256:b11ac00b864424aeb4fad5ef2cdaad3195f2281ffa56743581bb362878482b2a

Observation 2b171910-0d1d-472a-a71f-bb2b975994f3 · outbound

This paper cites Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.682513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.682513Z digest=sha256:04324c39ab82ad9326117325f74a7bf7371dc2ea22a19120c3a8bd23a8c1ff7e

Observation 873ceeaa-86de-45a0-b5d3-2a57b058e0c9 · outbound

This paper cites Token-Budget-Aware LLM Reasoning.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Token-Budget-Aware LLM Reasoning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.688333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.688333Z digest=sha256:acad441ce174eee2797826f182519d7d90708c3c9eabd6aa961faf568ab1a46f

Observation 69e1daac-97d1-4c5c-836b-6014dffe76e3 · outbound

This paper cites Longrecipe: Recipe for efficient long context generalization in large language models, 2024.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Longrecipe: Recipe for efficient long context generalization in large language models, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:13:20.783670Z

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=2026-08-15T20:13:19.696974Z digest=sha256:5e68af0f90a0d321867ced35ffbe41b30e6ff38f97fd04fbc91ad92acb399290

Observation 5587fdc2-3a62-4e4d-b356-178ac38ba10f · outbound

This paper cites let me double-check.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning let me double-check

Reference 49

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T20:13:20.765088Z

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=2026-08-15T20:13:19.702029Z digest=sha256:99d2bd7633652f2b9ef5ec9d67a0004a55746d7f8b6be52b8ee07f77e908c249

Pith citing papers

Observation 57d117e4-8407-4a4e-8afe-e1ef151f08a2 · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey QFFT, Question-Free Fine-Tuning for Adaptive Reasoning

Reference 116

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:17.309691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:17.309691Z digest=sha256:100c3f2286c29bc742b794d25b6429519a144de4586d4fac8cb2f389056cb0f6

Observation aa2970fe-c146-4d00-8f29-0e27550d27cb · inbound

Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning cites this paper.

Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning QFFT, Question-Free Fine-Tuning for Adaptive Reasoning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:32:02.808216Z

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=2026-05-13T01:31:21.377700Z digest=sha256:285119f0e65837a600c9c2209ea7246ce6a7ef2e15d3920fccc84d1884bd0a9a