Paper Citation Record · LEDGER

Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

As of 15 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2205.09712.

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

pith.paper-citation-record.v1
2205.09712 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-15T06:30:58.975436+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T01:35:34.292598Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 f005f24f-786a-4632-8139-017886228b40 · inbound

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them cites this paper.

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:15:23.821018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation 44c846f0-1d63-4e56-b5d9-0d8662f16c48 · inbound

Solving math word problems with process- and outcome-based feedback cites this paper.

Solving math word problems with process- and outcome-based feedback Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-24T11:14:23.129930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation a5f2a335-5f07-468a-a794-dc6b5fcb806d · inbound

Language Models can Solve Computer Tasks cites this paper.

Language Models can Solve Computer Tasks Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T12:17:26.826732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation 8ee15b2e-9802-467b-b7d9-e12d6ccb76f9 · inbound

Reasoning with Language Model is Planning with World Model cites this paper.

Reasoning with Language Model is Planning with World Model Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 106

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T01:49:29.102501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation 6294f122-42a1-4f0e-9b89-89d1b6b5941d · inbound

Let's Verify Step by Step cites this paper.

Let's Verify Step by Step Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T15:37:21.339819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation b56f28b2-973b-4fdd-a605-16ecfd36b2e2 · inbound

Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.

Agent AI: Surveying the Horizons of Multimodal Interaction Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 208

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T14:25:59.647385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation 7949a525-b518-4d2a-b23b-154cca4ac62f · inbound

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation cites this paper.

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T07:24:12.963498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation ef21981a-6d9e-40b1-b0ed-b5d2f6f34749 · inbound

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems cites this paper.

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T20:50:36.683805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation b95beec3-64c6-459f-9650-b6cc3b745382 · inbound

ActivationReasoning: Logical Reasoning in Latent Activation Spaces cites this paper.

ActivationReasoning: Logical Reasoning in Latent Activation Spaces Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T05:45:56.234566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation c48b0112-00ed-4818-9745-dc8d6737318e · inbound

Think in Strokes, Not Pixels: Process-Driven Image Generation via Interleaved Reasoning cites this paper.

Think in Strokes, Not Pixels: Process-Driven Image Generation via Interleaved Reasoning Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:10:53.823287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation 5476d702-93f6-478a-bdb8-8abeda15e3fd · inbound

Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision cites this paper.

Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:20:58.053681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation 5d30a277-9798-4909-89aa-c5b1d9284bf6 · inbound

Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning Chains cites this paper.

Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning Chains Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:14:46.687398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation 06199226-1702-40ab-81eb-763b5de466c4 · inbound

Temporal Reasoning Is Not the Bottleneck: A Probabilistic Inconsistency Framework for Neuro-Symbolic QA cites this paper.

Temporal Reasoning Is Not the Bottleneck: A Probabilistic Inconsistency Framework for Neuro-Symbolic QA Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:16:07.771043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation 5391581f-04b6-4524-be5f-5e6e22b4d51c · inbound

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces cites this paper.

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 113

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:01:18.671722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation 8885888a-1e31-480e-8e54-0bd9e63a244f · inbound

Benchmarking Knowledge Editing using Logical Rules cites this paper.

Benchmarking Knowledge Editing using Logical Rules Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:07:38.726751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation 58b78d89-245d-47fc-b351-f8c275d02136 · inbound

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:59:40.631017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation b155fd3a-a6bb-4f25-8024-b5fa533663d5 · inbound

ToxiREX: A Dataset on Toxic REasoning in ConteXt cites this paper.

ToxiREX: A Dataset on Toxic REasoning in ConteXt Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 192

Resolution: verified exact; arxiv_id, observed 2026-06-29T04:43:07.035891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.

Observation 5385c799-caa5-4443-b154-99027f376c9c · inbound

AI-Generated PowerShell Malware: An Experimental Framework and Dataset cites this paper.

AI-Generated PowerShell Malware: An Experimental Framework and Dataset Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T12:55:44.329706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.