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Paper Citation Record · LEDGER

Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.05318.

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

pith.paper-citation-record.v1
2410.05318 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:30:14.965543Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T14:51:42.614889Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 3d1217fe-cfdf-4584-bbaa-bbefa0436589 · inbound

Drowning in Documents: Consequences of Scaling Reranker Inference cites this paper.

Drowning in Documents: Consequences of Scaling Reranker Inference Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T18:13:42.433353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:13:42.433353Z digest=sha256:df3a0c40c2bcc75c9164347f2fb83b86faad1e566079fd5bc10e14eaec55aa6d

Observation c862d07b-9ef5-40db-b749-200fd8cb9881 · inbound

Evolving Deeper LLM Thinking cites this paper.

Evolving Deeper LLM Thinking Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T19:39:10.497458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:39:10.497458Z digest=sha256:3e5d034c2592fcbe2d7ed5b36a39d3a2f8c81210f97d8d74635e501a147b8e59

Observation 7334d476-c4a7-419f-87e7-bcd5ddbf584c · inbound

Zero-Shot Verification-guided Chain of Thoughts cites this paper.

Zero-Shot Verification-guided Chain of Thoughts Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T17:51:25.307772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:51:25.307772Z digest=sha256:5c885f418d2e68454dc42a3b79395cd6b6a55cae1bbface575d6feb4656a5920

Observation cbea2e0a-b927-48e2-affb-116d4bfce29f · inbound

From Test-taking to Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark for LLMs on English Standardized Tests cites this paper.

From Test-taking to Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark for LLMs on English Standardized Tests Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:51:42.617939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T14:48:53.744204Z digest=sha256:09c2f0ebf769962fc65dba969e033afeb9bc8ef1c0b6ce27abab2e00d29be904

Observation 59e8e1e9-4b76-4c12-8e4d-39a0f264ed32 · inbound

One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL cites this paper.

One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:30:40.214833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:30:40.214833Z digest=sha256:72564c7b9cd4ab3f30f5960ccbb74b7992d0eecde0aa6d293ae0625d5a7fcfda

Observation 497b1613-5f52-448f-88a8-1645b6bba42e · inbound

VL-GenRM: Enhancing Vision-Language Verification via Vision Experts and Iterative Training cites this paper.

VL-GenRM: Enhancing Vision-Language Verification via Vision Experts and Iterative Training Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T00:34:01.910015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:34:01.910015Z digest=sha256:f54aca5bd2088c427f6852f864296736d1bc0a0d8ea324aed38bc83a6a401341

Observation 6b20e1c9-7841-4f00-8940-faf064b1bbf3 · inbound

VerifyLLM: LLM-Based Pre-Execution Task Plan Verification for Robots cites this paper.

VerifyLLM: LLM-Based Pre-Execution Task Plan Verification for Robots Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T19:37:20.955065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:37:20.955065Z digest=sha256:9ac616a497c444f2bfc0a627bb945c204711236a55a16fa78bfff4a038e82243

Observation ec97284d-8bdf-4f4f-adfa-e34867531bd4 · inbound

Fast, Slow, and Tool-augmented Thinking for LLMs: A Review cites this paper.

Fast, Slow, and Tool-augmented Thinking for LLMs: A Review Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T17:30:14.965543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:30:14.965543Z digest=sha256:fa4106e1a244ffba705665e8fabacc47768f549dea558535d1da683791764594

Observation df4a955a-358c-4222-a27a-2fdc7dbdf745 · inbound

DIANOIA: Diagnostic Decomposition and Joint Optimization for Multi-Agent Reasoning cites this paper.

DIANOIA: Diagnostic Decomposition and Joint Optimization for Multi-Agent Reasoning Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T03:22:16.286382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:22:16.286382Z digest=sha256:e0953ca4b50f98b84aa5cb149e8d7be5bb38f0f765854edb77140bd7deae0e91

Observation 229e9fc6-0779-43b4-813c-efba29d41787 · inbound

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning cites this paper.

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:39.032933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T18:19:55.849451Z digest=sha256:317a99580903188907e7ad999aa64d73a59dade88a418805acdb2ec5d7890a64

Observation 52339708-5d6e-4ee1-9f4a-1da0895803d4 · inbound

Credit Cards, Confusion, Computation, and Consequences: What Can We Uncover About Language Model Reasoning? cites this paper.

Credit Cards, Confusion, Computation, and Consequences: What Can We Uncover About Language Model Reasoning? Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

Reference 154

Resolution
unresolved
no resolver link, observed 2026-07-30T16:01:42.467883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:01:42.467883Z digest=sha256:e61ba26e2f777f10add350496e09cb16432317c3f39a33a66a65cfd5d694406e

Observation 0d5ec4b6-e78b-420a-b80b-2d430e5ba00a · inbound

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability cites this paper.

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-04T10:56:17.135111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:56:17.135111Z digest=sha256:a5d6875c022665432b50057060f1d75b557a12771c337f905019184b14b7abf1