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Paper Citation Record · LEDGER

From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2406.16838.

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

pith.paper-citation-record.v1
2406.16838 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:19:48.475482Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:38:43.202475Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 65a128b4-8b6f-477f-9bc6-8dd7bdcb35d4 · inbound

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark cites this paper.

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-14T00:51:48.421321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T00:51:48.163349Z digest=sha256:d088808d973877ca117156649e6a45bff248f879481badaf97d6b676ef35aa28

Observation ebabf030-ed6d-4af9-a4bf-a996a5619b65 · inbound

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning cites this paper.

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 90

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T15:58:33.547937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T15:58:33.219451Z digest=sha256:da7c5d560a5e97a1960c4dd52d630b72cefbe56bb4efd3d42a62b08edbf2c08c

Observation f97a9193-d96a-40c9-8361-089ac140567c · inbound

Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning cites this paper.

Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T11:19:48.475482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:19:48.475482Z digest=sha256:20164a08e4d18db5a288abe8a14df28f45776a80ef72c68b0baec1d6570b7615

Observation 4a6f70b4-328a-4871-bfd8-7e74942e7ec9 · inbound

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation cites this paper.

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T10:52:49.675555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:52:49.675555Z digest=sha256:3d14484984a536bfc84ffc40e5278531b4cafc0c10227039c78631f7c0f123c7

Observation 169aae46-5f0f-469b-89dd-d35faa0f2fb6 · inbound

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning cites this paper.

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-07T10:42:41.082119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:42:41.082119Z digest=sha256:62eafbc593fd118e194fe544491028e43e386f5da2f90d6c88d7b5a2348f0c36

Observation c062ef60-2ff6-4845-bad7-00bc850adc90 · inbound

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs cites this paper.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:45:05.953393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:45:05.953393Z digest=sha256:7b4d88c87070c36b3af983def326c148d11837ff5ca624909860ba5c45d8f5d0

Observation 64a1a329-7c7c-44fc-9d7b-6257ba1da799 · inbound

Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided Framework cites this paper.

Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided Framework From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T18:59:42.867863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:59:42.867863Z digest=sha256:04ea2f5d05425083a6e256066ce55848995eae6bb35ba67ad05bc13cbfd709b8

Observation bffdefc5-372f-4dbe-a03c-3aa5e4d5ae58 · inbound

Breaking the Myth: Can Small Models Infer Postconditions Too? cites this paper.

Breaking the Myth: Can Small Models Infer Postconditions Too? From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T17:41:43.281934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:43.281934Z digest=sha256:07d7b66d2996ed3f4dc2043e2ab36b0fceec0b9fc02947cf069831f59588b323

Observation 88529ffc-21a4-4fa3-a5bc-debeba036124 · inbound

LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization cites this paper.

LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:43.802572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:29:43.802572Z digest=sha256:687fe3697226749f787bdd6204ecd3c82056dc1ad7ecff94b3384af824a0b545

Observation 5e43cafe-23dc-4a78-b566-a04e133c414e · inbound

Constrained Decoding for Safe Robot Navigation Foundation Models cites this paper.

Constrained Decoding for Safe Robot Navigation Foundation Models From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:11:47.487030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T19:07:18.832187Z digest=sha256:efaaef6cd8bdfce7869dbbc297cf9dab491c51e8b23a409e398ee6ef64147841

Observation 138070ef-4331-45e5-8e85-f6187ae41eaa · inbound

More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) cites this paper.

More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 2024

Resolution
malformed identifier
no resolver link, observed 2026-08-03T07:05:16.731784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:05:16.731784Z digest=sha256:a2f259b5493bc1f2abcb6cad21a34102b9cce4863474b1a180bca58e2afe73b1

Observation 1c061466-5610-43c7-9499-b9a75e33aa87 · inbound

Inclusion-of-Thoughts: Mitigating Preference Instability via Purifying the Decision Space cites this paper.

Inclusion-of-Thoughts: Mitigating Preference Instability via Purifying the Decision Space From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:35:31.732550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T11:31:38.301306Z digest=sha256:a725ddb4ffa077697b6fa5756bf1f766c30215b6215b5d7799ab8f28e57e87aa

Observation 0278de20-04f1-4f31-9b3d-e8ee64cfc822 · inbound

Learning and Enforcing Context-Sensitive Control for LLMs cites this paper.

Learning and Enforcing Context-Sensitive Control for LLMs From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:46:00.108565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T16:30:01.340343Z digest=sha256:9d627903f666296d695f18cb08f2daca87249950c1492524bf596c2dcc72500c

Observation c351be8c-bc7b-45ce-b1cd-06d833d2024b · inbound

Your Model Diversity, Not Method, Determines Reasoning Strategy cites this paper.

Your Model Diversity, Not Method, Determines Reasoning Strategy From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:56:02.685136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T15:16:30.448400Z digest=sha256:33352058897573fe5aa3f8e0449af4e54eb0a20cd16fa786a764ed06396e581f

Observation 442a1a53-24e4-4ae1-8553-e51dcf596288 · inbound

POSTCONDBENCH: Benchmarking Correctness and Completeness in Formal Postcondition Inference cites this paper.

POSTCONDBENCH: Benchmarking Correctness and Completeness in Formal Postcondition Inference From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:56:12.233653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-07T16:04:48.394294Z digest=sha256:a8cd59306056c701f8ac8f33e28fd4bbb1b2b5d657c554d83cd717cc782429c1

Observation f31e2c5c-606e-4b10-8d2a-b03c7cdf1c13 · inbound

Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation cites this paper.

Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:51:06.535062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T17:06:18.050592Z digest=sha256:8f10347889b0329463d90ba9d753e463929dc85bd9af65558acb7a536bf75c82

Observation fe87dc92-5570-43e1-befd-5ca5ec8e57cc · inbound

The tractability landscape of diffusion alignment: regularization, rewards, and computational primitives cites this paper.

The tractability landscape of diffusion alignment: regularization, rewards, and computational primitives From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T02:52:08.940656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T02:49:53.547490Z digest=sha256:6d59adbb288ce59c28320bb59ef988e80de3db2be98e241e3fecb47a5351ad0d

Observation 2f1b3824-3017-409d-8113-e49c85894ad8 · inbound

APPO: Agentic Procedural Policy Optimization cites this paper.

APPO: Agentic Procedural Policy Optimization From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-07-03T09:37:49.411484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:21:55.485624Z digest=sha256:561ff84bceaab467a16651ad5583a67eeae02d68dc27ed6840b1992a20163b50

Observation e5e7acfa-e40c-40f5-9e12-93afd7143104 · inbound

APPO: Agentic Procedural Policy Optimization cites this paper.

APPO: Agentic Procedural Policy Optimization From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-03T02:12:33.576211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:12:33.576211Z digest=sha256:acf89b9b8d774dbe8d69760c99c112025a75cf41dfb8e55982c9c13a8c15b679

Observation 06c0c9b8-e752-4957-9882-95aa9834f762 · inbound

Geometric Signatures of Reasoning: A Spectral Perspective on Task Hardness cites this paper.

Geometric Signatures of Reasoning: A Spectral Perspective on Task Hardness From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:38:43.204194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-03T17:36:09.322804Z digest=sha256:09d7dc2569cd3754f43868ccbe5585faa6e9ffde1c2f982e566b0231f04ca570