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Paper Citation Record · LEDGER

Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:30:40.214833Z

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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T14:48:53.744204Z digest=sha256:ece1289697718e0001e365a286b33f80b65efb8bb2bf3191b29f140fedb2a090

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:c670fbfe3bfd2515705d44c535ee86e0d3b638229467a469e2157a70359118eb

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=sha256:5993796efed670dc55b5434924d699dc81e3490c75f5768132e4fc5778c2f02c

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:e853888eb03aae3adc2d411876ddad53d10ad183b7fc66ab2716f504f996bbd3

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:b0a6f0cde50bac1c4eed0d1971576929c697292b8b18ab4f4203cd16323a8929

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T18:19:55.849451Z digest=sha256:7b5a984b799d2bbb0f91be93368c3463c5ea3f165820c50aff1a077105a5fbc4

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=sha256:8e2723940efc3671fe82dc1ba00d47ee93cd2e18dba50189a547842e00fb3c5e

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=sha256:62aa0236e12fafb5769388a5be590889b80af7c999eb505d65ffa609925a6a71