Paper Citation Record · LEDGER

DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2301.08164.

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

pith.paper-citation-record.v1
2301.08164 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:31:51.360922Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T07:34:43.110807Z

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 95c95e5a-aa9c-4da0-ad06-8662eaf8d761 · inbound

Enhancing Cross-task Transfer of Large Language Models via Activation Steering cites this paper.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:51.360922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1941ddb-a261-4aa2-97f5-48a9766bb1fa · inbound

Large Vision-Language Models Get Lost in Attention cites this paper.

Large Vision-Language Models Get Lost in Attention DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:10.243588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c36df835-c776-4a6d-954e-4be03d6fe25b · inbound

Generative Archetype-Grounded Item Representations for Sequential Recommendation cites this paper.

Generative Archetype-Grounded Item Representations for Sequential Recommendation DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-03T07:57:45.009543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e2262d1-2a68-4dfc-8346-f2320e1551ca · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:44.828576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c780deb-1634-4be9-8ce6-73ec428cdb30 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:55:59.742663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2c331c9a-a757-4979-8678-2bdeb9a338a5 · inbound

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective cites this paper.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T07:34:43.112949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.