Paper Citation Record · LEDGER

Learning to Maximize Mutual Information for Chain-of-Thought Distillation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.03348.

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

pith.paper-citation-record.v1
2403.03348 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:19:44.499905Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:13:42.562561Z

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 00f0903a-b181-4972-8e12-f84f99f42b42 · 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 Learning to Maximize Mutual Information for Chain-of-Thought Distillation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:19:44.499905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89e91865-13aa-42c3-a132-9c4650471936 · inbound

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes cites this paper.

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes Learning to Maximize Mutual Information for Chain-of-Thought Distillation

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:13:42.642732Z

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 ecb79843-687b-4764-b9b8-0314d3a4a3ff · inbound

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale cites this paper.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Learning to Maximize Mutual Information for Chain-of-Thought Distillation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T15:25:34.631211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7825b69d-f3df-400c-8a72-caf5f1d0c892 · inbound

Is Your Model Thinking or Just Stagnating? PUMA: Diagnosing Reasoning Pathology via Phase-Momentum Alignment cites this paper.

Is Your Model Thinking or Just Stagnating? PUMA: Diagnosing Reasoning Pathology via Phase-Momentum Alignment Learning to Maximize Mutual Information for Chain-of-Thought Distillation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T18:49:26.750264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.