Paper Citation Record · LEDGER

ST-LLM: Large Language Models Are Effective Temporal Learners

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.00308.

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

pith.paper-citation-record.v1
2404.00308 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:52.598295Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:29:31.158429Z

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 665d2878-2e21-48d5-9f86-71d404dab043 · inbound

PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning cites this paper.

PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning ST-LLM: Large Language Models Are Effective Temporal Learners

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:21:58.003748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed258d1e-0ec7-43b8-9f8e-ec97490736e6 · inbound

CogVLM2: Visual Language Models for Image and Video Understanding cites this paper.

CogVLM2: Visual Language Models for Image and Video Understanding ST-LLM: Large Language Models Are Effective Temporal Learners

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:10:27.812133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 78580b7e-cc0b-43eb-a14e-cdcdd67b983e · inbound

LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding cites this paper.

LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding ST-LLM: Large Language Models Are Effective Temporal Learners

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:02:37.327862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b1649634-71a0-4263-bd39-1fb94d03ec3e · inbound

LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs cites this paper.

LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs ST-LLM: Large Language Models Are Effective Temporal Learners

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:52.598295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e75c140-9583-4936-995e-a5ad9f726e48 · inbound

Task-Aware KV Compression For Cost-Effective Long Video Understanding cites this paper.

Task-Aware KV Compression For Cost-Effective Long Video Understanding ST-LLM: Large Language Models Are Effective Temporal Learners

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:37.979162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 320634d2-39d7-4fb8-96d5-2317345521d9 · inbound

MANTA: Cross-Modal Semantic Alignment and Information-Theoretic Optimization for Long-form Multimodal Understanding cites this paper.

MANTA: Cross-Modal Semantic Alignment and Information-Theoretic Optimization for Long-form Multimodal Understanding ST-LLM: Large Language Models Are Effective Temporal Learners

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:00:06.708059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a599412-eb10-4a8e-bca7-196d225759ce · inbound

NEST: Narrative Event Structures in Time for Long Video Understanding cites this paper.

NEST: Narrative Event Structures in Time for Long Video Understanding ST-LLM: Large Language Models Are Effective Temporal Learners

Reference 284

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:29:31.160170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.