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Paper Citation Record · LEDGER

Contrastive Decoding Improves Reasoning in Large Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2309.09117.

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

pith.paper-citation-record.v1
2309.09117 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:36:46.377209Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:40:07.875724Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9dc778e9-4f42-4b32-8e59-76691fbb5d30 · inbound

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models cites this paper.

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models Contrastive Decoding Improves Reasoning in Large Language Models

Reference 91

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arxiv_id, observed 2026-05-16T13:21:24.404046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-16T13:21:24.297836Z digest=sha256:06c15344155af814e66c5bf5985e2f4fe6a1a526dc306757b87652535abca341

Observation b7c084ec-24d6-44da-8ad4-2832c6c9fb96 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Contrastive Decoding Improves Reasoning in Large Language Models

Reference 240

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arxiv_id, observed 2026-05-13T02:46:27.828717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:4e8223d8785756aee194ddb1b7e900567efa57741c45051f91ea43af56e0f0db

Observation d803cea1-dce9-4535-a639-98941da5e9bd · inbound

CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs cites this paper.

CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs Contrastive Decoding Improves Reasoning in Large Language Models

Reference 35

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no resolver link, observed 2026-08-12T21:36:46.377209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:36:46.377209Z digest=sha256:323a617b84918922437f21aabbb7749a565f3968d0fe84aefd5ae45f802d7507

Observation 0e16d97b-8768-47c6-bced-d94a3fbfe0e6 · inbound

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering cites this paper.

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering Contrastive Decoding Improves Reasoning in Large Language Models

Reference 86

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no resolver link, observed 2026-08-12T18:28:48.291553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:28:48.291553Z digest=sha256:742518c035b013eeb77e98bdcb45959b412852f9fcf191dc2817590ace7f7f6e

Observation d11b4eef-350c-4aaf-be9a-137394f9ce2c · inbound

VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding cites this paper.

VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding Contrastive Decoding Improves Reasoning in Large Language Models

Reference 36

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no resolver link, observed 2026-08-12T13:54:22.737586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:54:22.737586Z digest=sha256:15bcc73c72a13e94e98509c7dacb0916b5da617b459e0fc83c86276f2a782fb4

Observation acf1ed0b-174e-4538-a19d-d232d546d671 · inbound

Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability cites this paper.

Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability Contrastive Decoding Improves Reasoning in Large Language Models

Reference 14

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no resolver link, observed 2026-08-12T05:43:31.769301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:43:31.769301Z digest=sha256:cdc57ba0b21806741842f3881567f883aad74537669b378e71cd37438dad0da0

Observation 7de2abff-c358-47ce-9eb6-33423253b409 · inbound

When to Speak, When to Abstain: Contrastive Decoding with Abstention cites this paper.

When to Speak, When to Abstain: Contrastive Decoding with Abstention Contrastive Decoding Improves Reasoning in Large Language Models

Reference 48

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no resolver link, observed 2026-08-11T14:05:06.380719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:05:06.380719Z digest=sha256:ac1629ff144deacc085f7f9ea82cd9d6c86c1e88f1c05dbd47670dd49bfd54fe

Observation fdbcbd86-e0f0-4584-98c4-4bd6ba7cdec5 · inbound

Cross-Modal Attention Calibration for LVLM Hallucination Mitigation cites this paper.

Cross-Modal Attention Calibration for LVLM Hallucination Mitigation Contrastive Decoding Improves Reasoning in Large Language Models

Reference 27

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no resolver link, observed 2026-08-10T22:20:38.145361Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:20:38.145361Z digest=sha256:293c36e8b8e98043ce81618efed891ffbd6fbdbea64b1d0bf0f7635e72eca3a7

Observation 4f19e940-c736-4ddf-a7e1-fcbdc487e549 · inbound

TruthFlow: Truthful LLM Generation via Representation Flow Correction cites this paper.

TruthFlow: Truthful LLM Generation via Representation Flow Correction Contrastive Decoding Improves Reasoning in Large Language Models

Reference 40

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no resolver link, observed 2026-08-08T22:23:28.424314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:23:28.424314Z digest=sha256:7ce5bf3b52ffa8ebbcbe8f1792487f15551bb75224d7ee7f4c72b24d0b430f3b

Observation c6174ef1-abbd-4bb5-946a-8c8cad82e328 · inbound

Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE cites this paper.

Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE Contrastive Decoding Improves Reasoning in Large Language Models

Reference 2016

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no resolver link, observed 2026-08-08T16:12:28.944851Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:12:28.944851Z digest=sha256:c6622a7940bdf55483d675905c98cd1aa60691d7e38ecaea7a8e715bad924f92

Observation 91657d33-5845-424a-b4a1-1d318ee66575 · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey Contrastive Decoding Improves Reasoning in Large Language Models

Reference 177

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no resolver link, observed 2026-08-07T14:12:01.968522Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:01.968522Z digest=sha256:e87695ea4849a16eee74a5076059d7b305bc2cedfc6fe47b61f1c57304eb455c

Observation 1e294d05-a7bc-4e71-ad47-653914eb12ba · inbound

Dual Debiasing for Noisy In-Context Learning for Text Generation cites this paper.

Dual Debiasing for Noisy In-Context Learning for Text Generation Contrastive Decoding Improves Reasoning in Large Language Models

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:11:12.909849Z digest=sha256:e4e2838e385874a69e56df4b0bec20ee4e0da857ef4fc8eea993a1b60e1dfcff

Observation 4c2d88b2-495e-4d56-87bf-23ad4db61213 · inbound

EpiCoDe: Boosting Model Performance Beyond Training with Extrapolation and Contrastive Decoding cites this paper.

EpiCoDe: Boosting Model Performance Beyond Training with Extrapolation and Contrastive Decoding Contrastive Decoding Improves Reasoning in Large Language Models

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:12:18.745502Z digest=sha256:040c3e55d7b8a47b9f0eafc95cac39343d5a274b85219341a669d30beaa7e177

Observation 8f0c5874-9f18-43ac-b566-9d1716200228 · inbound

Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs cites this paper.

Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs Contrastive Decoding Improves Reasoning in Large Language Models

Reference 22

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no resolver link, observed 2026-08-07T11:16:26.549292Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:26.549292Z digest=sha256:8be5de8f7b2d3609da89b42d903c8ba47ce5dbd96e785431a4de2ec72b8bb8a5

Observation 78242598-fac4-4a9d-bb21-549d0253b68b · inbound

UCD: Unlearning in LLMs via Contrastive Decoding cites this paper.

UCD: Unlearning in LLMs via Contrastive Decoding Contrastive Decoding Improves Reasoning in Large Language Models

Reference 24

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no resolver link, observed 2026-08-07T04:22:59.878544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:22:59.878544Z digest=sha256:189d138a780dabd858a6e1318a8ece0598323462882b9f3ed298ba0b69a6a84a

Observation 8147f793-cb5c-4d50-b3c7-419e2442acbc · inbound

RAST: Reasoning Activation in LLMs via Small-model Transfer cites this paper.

RAST: Reasoning Activation in LLMs via Small-model Transfer Contrastive Decoding Improves Reasoning in Large Language Models

Reference 46

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no resolver link, observed 2026-08-07T12:19:56.343155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:19:56.343155Z digest=sha256:1d1264c4c4b0ba15d067e3bbea0424809eacddccb69e721ccf34d51d7dd28670

Observation 2961f56e-2509-4f23-b931-61f638cca135 · inbound

CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs cites this paper.

CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs Contrastive Decoding Improves Reasoning in Large Language Models

Reference 35

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no resolver link, observed 2026-08-06T20:42:01.567956Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:42:01.567956Z digest=sha256:c49d07e2f72a6092650d913f8bcf89de24e7eb21d362b6156f503acee24703ab

Observation f88821a8-360d-4b67-a0ed-cb5b454bcc6c · inbound

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs cites this paper.

DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs Contrastive Decoding Improves Reasoning in Large Language Models

Reference 33

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no resolver link, observed 2026-08-06T20:40:19.307487Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:19.307487Z digest=sha256:813bce31cb9fc49c764577b3d4d6a635f8b9b33c51f00c6106b9ee3726ee8c15

Observation a49e8162-9180-4bfb-be70-28aa2f089017 · inbound

Exploring and Mitigating Fawning Hallucinations in Large Language Models cites this paper.

Exploring and Mitigating Fawning Hallucinations in Large Language Models Contrastive Decoding Improves Reasoning in Large Language Models

Reference 34

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no resolver link, observed 2026-08-05T13:11:15.391802Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:11:15.391802Z digest=sha256:be2223d0d4f68df14ba5e38d976de259d0465ad1c003982f252c19db4ca89e9e

Observation cfc0efb4-8cf3-446b-9add-d6d1cfb1f359 · inbound

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning? cites this paper.

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning? Contrastive Decoding Improves Reasoning in Large Language Models

Reference 13

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verified exact
arxiv_id, observed 2026-05-22T13:01:34.059881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T12:59:31.011283Z digest=sha256:48af5fec585c8a458d45f228c97937cc0c6503920439994adcfcd7057d5c82b1

Observation 5aac1986-8c54-4a81-9003-a0e5542a1eba · inbound

Efficient Low-Resource Language Adaptation via Multi-Source Dynamic Logit Fusion cites this paper.

Efficient Low-Resource Language Adaptation via Multi-Source Dynamic Logit Fusion Contrastive Decoding Improves Reasoning in Large Language Models

Reference 24

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metadata mismatch
arxiv_id, observed 2026-05-10T06:56:47.899545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T05:27:59.200544Z digest=sha256:7d436c0a1cde5c65667d458590faf9c895f9f6fe693550956af52f050b8858dc

Observation 0914f0de-c1a5-449b-8ca5-7e954b4d50a2 · inbound

Detoxification for LLM: From Dataset Itself cites this paper.

Detoxification for LLM: From Dataset Itself Contrastive Decoding Improves Reasoning in Large Language Models

Reference 4

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metadata mismatch
arxiv_id, observed 2026-05-10T03:08:59.141085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T03:07:30.401190Z digest=sha256:73ce44cbe5c9f397abdb3a0192411b02837a7cea709fec3bd20515797467e196

Observation c7ffa415-f160-413c-b4d2-e96ae267356a · inbound

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding cites this paper.

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Contrastive Decoding Improves Reasoning in Large Language Models

Reference 38

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arxiv_id, observed 2026-05-13T05:52:22.803005Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T05:47:46.903550Z digest=sha256:751fd3e18ffdebcb82c32b1b1eb70a06fe0bc0ca66b753e8d108495365858ee6

Observation 77c4244a-3a45-4ac8-a2e4-4b0b772441f9 · inbound

Reading the Finetuning Prior: Verbatim Content Recovery via Contrastive Decoding Diffing cites this paper.

Reading the Finetuning Prior: Verbatim Content Recovery via Contrastive Decoding Diffing Contrastive Decoding Improves Reasoning in Large Language Models

Reference 16

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arxiv_id, observed 2026-06-29T22:44:01.674494Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-29T22:37:02.708284Z digest=sha256:41ecc9d870c68419990118da8e25b1ea2a8f677bf9a4bf3343d8a84118c95cc8

Observation ff1f7cee-ad92-4898-9c0e-9fd7fab9a142 · inbound

Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization cites this paper.

Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization Contrastive Decoding Improves Reasoning in Large Language Models

Reference 19

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arxiv_id, observed 2026-06-29T09:03:15.905847Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T08:59:03.375697Z digest=sha256:1745ad053a04b040956d5d7c006472ce3d36b3c0da24398b66daa6d13c071e1f

Observation 528a5542-e0d3-4b45-ac92-6f9df285a246 · inbound

YARD: Y-Architecture Register Decoding for Efficient Hallucination Mitigation in Large Vision-Language Models cites this paper.

YARD: Y-Architecture Register Decoding for Efficient Hallucination Mitigation in Large Vision-Language Models Contrastive Decoding Improves Reasoning in Large Language Models

Reference 33

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arxiv_id, observed 2026-06-28T23:22:46.923222Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-28T23:19:18.264462Z digest=sha256:ae8e32012e2d81bb6f2dc0b609ec3f8914bfc4e8e3d1b95d826394f9b96fbe77

Observation 5a19aee7-c484-4a50-9b70-85e87dc4eaa9 · inbound

Off-the-Shelf LLMs as Process Scorers: Training-Free Alternative to PRMs for Mathematical Reasoning cites this paper.

Off-the-Shelf LLMs as Process Scorers: Training-Free Alternative to PRMs for Mathematical Reasoning Contrastive Decoding Improves Reasoning in Large Language Models

Reference 21

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metadata mismatch
arxiv_id, observed 2026-07-01T22:36:17.530007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-28T15:13:59.803306Z digest=sha256:bd0084a0a4a120b3103969b94d81f26236fd6d0a6ee2883c456305d3376bc194

Observation 547819c0-f2a4-463d-b9dc-7d53e39cccce · inbound

Resonant Context Anchoring: Decoupling Attention Routing and Signal Gain at Inference Time cites this paper.

Resonant Context Anchoring: Decoupling Attention Routing and Signal Gain at Inference Time Contrastive Decoding Improves Reasoning in Large Language Models

Reference 71

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verified exact
arxiv_id, observed 2026-07-01T23:26:21.629229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-28T14:27:00.523125Z digest=sha256:75be404cd7ce7668109852cc54de4eb52e70c404c43a54ccfb915072c0494af6

Observation 520fdbcd-2a8e-438a-a373-b2a58f5e6fe5 · inbound

Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents cites this paper.

Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents Contrastive Decoding Improves Reasoning in Large Language Models

Reference 121

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verified exact
arxiv_id, observed 2026-07-04T20:40:07.877305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-25T19:55:51.114244Z digest=sha256:922bef70d745fd4e7f6ef17ad9bd217aeecc7bd08de1b951e39fca52e35215ae

Observation 530be9af-9b05-45a5-8276-f01ace178b6b · inbound

Improving LLMs via Validator-to-Generator Alignment cites this paper.

Improving LLMs via Validator-to-Generator Alignment Contrastive Decoding Improves Reasoning in Large Language Models

Reference 45

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no resolver link, observed 2026-07-12T07:52:00.900202Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T07:52:00.900202Z digest=sha256:ddeb38accab6ad35847311797473528c4058cbdf81a175df876ed578d1053770

Observation 31c0bbf0-d672-43f0-896f-cb3eb6f3e8c1 · inbound

Revisiting Lossy Verification in Speculative Decoding: Mechanisms, Trade-offs, and Failure Modes cites this paper.

Revisiting Lossy Verification in Speculative Decoding: Mechanisms, Trade-offs, and Failure Modes Contrastive Decoding Improves Reasoning in Large Language Models

Reference 15

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no resolver link, observed 2026-08-01T12:06:58.232945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:06:58.232945Z digest=sha256:4e861961d0e5beba6781ffe130251785282e94c17203d3b478250b8906bf1337

Observation d09a2950-006e-4929-a5c3-06a546bc80b5 · inbound

Don't Mix Rewards, Mix Policies: Policy Decomposition and Optimization for Multi-Reward RL cites this paper.

Don't Mix Rewards, Mix Policies: Policy Decomposition and Optimization for Multi-Reward RL Contrastive Decoding Improves Reasoning in Large Language Models

Reference 22

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no resolver link, observed 2026-08-03T10:57:57.414627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:57:57.414627Z digest=sha256:173369d04c04a144051efc54eedd558afccb3966e05723f073e540081ea317ab