Paper Citation Record · LEDGER

miniCTX: Neural Theorem Proving with (Long-)Contexts

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2408.03350.

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

pith.paper-citation-record.v1
2408.03350 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:51:30.778860Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 73c5e8d7-5c4b-451e-9777-de35a1166ffd · inbound

ImProver: Agent-Based Automated Proof Optimization cites this paper.

ImProver: Agent-Based Automated Proof Optimization miniCTX: Neural Theorem Proving with (Long-)Contexts

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:53:23.391013Z

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.

Observation cddd7a6e-db7c-4d05-b4a7-f80193dd7bb0 · inbound

Formal Mathematical Reasoning: A New Frontier in AI cites this paper.

Formal Mathematical Reasoning: A New Frontier in AI miniCTX: Neural Theorem Proving with (Long-)Contexts

Reference 287

Resolution: unresolved; no resolver link, observed 2026-08-11T10:51:30.778860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcf17758-1533-40eb-9855-ea9aeabfadd1 · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach miniCTX: Neural Theorem Proving with (Long-)Contexts

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-12T15:39:41.328826Z

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.

Observation 8bc50e03-1dc9-44f3-9ad1-0ad9e855424b · inbound

Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening cites this paper.

Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening miniCTX: Neural Theorem Proving with (Long-)Contexts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:02.443888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c494eb83-49c8-45af-872c-d3b901b90983 · inbound

s2n-bignum-bench: A practical benchmark for evaluating low-level code reasoning of LLMs cites this paper.

s2n-bignum-bench: A practical benchmark for evaluating low-level code reasoning of LLMs miniCTX: Neural Theorem Proving with (Long-)Contexts

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:59:57.103262Z

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.

Observation a30d0f9e-3e2c-4070-b85a-5f38a94229c8 · inbound

How Well Do LLMs Perform on the Simplest Long-Chain Reasoning Tasks: An Empirical Study on the Equivalence Class Problem cites this paper.

How Well Do LLMs Perform on the Simplest Long-Chain Reasoning Tasks: An Empirical Study on the Equivalence Class Problem miniCTX: Neural Theorem Proving with (Long-)Contexts

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:45:51.976364Z

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.

Observation 4c8431e9-f14c-477c-8b16-79d8d63507e7 · inbound

FVSpec: Real-World Property-Based Tests as Lean Challenges cites this paper.

FVSpec: Real-World Property-Based Tests as Lean Challenges miniCTX: Neural Theorem Proving with (Long-)Contexts

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:12:25.305091Z

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.

Observation 5906d509-7013-440f-a6e5-5373a3c35494 · inbound

PriorProof: A Point-in-Time Measure of Technique Novelty for Formal Proofs cites this paper.

PriorProof: A Point-in-Time Measure of Technique Novelty for Formal Proofs miniCTX: Neural Theorem Proving with (Long-)Contexts

Reference 1960

Resolution: unresolved; no resolver link, observed 2026-08-01T19:24:38.638313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a4ffe9b-de90-4c88-91f1-75400c9a10ac · inbound

LeanFlow: A Case Study in Workflow-Driven Lean Autoformalization cites this paper.

LeanFlow: A Case Study in Workflow-Driven Lean Autoformalization miniCTX: Neural Theorem Proving with (Long-)Contexts

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:59.457358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.