Paper Citation Record · LEDGER

One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.19603.

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

pith.paper-citation-record.v1
2409.19603 v1

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:11.218146Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:48:03.088092Z

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 939ad889-be6d-4612-ac51-676f8947dfee · inbound

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling cites this paper.

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:52:20.680766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1596bf16-837f-4dc4-bc2f-653d81fd4952 · inbound

Reasoning Segmentation for Images and Videos: A Survey cites this paper.

Reasoning Segmentation for Images and Videos: A Survey One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:11.218146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 995d4ac7-76e0-4822-bdfd-0cf3c63f70c3 · inbound

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

Reference 106

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:48:03.089350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9cae0649-f568-41ec-ab37-de31d94e0a2d · inbound

ReflexTrack: A Feedback-Driven Agent for Training-Free Referring Video Object Segmentation cites this paper.

ReflexTrack: A Feedback-Driven Agent for Training-Free Referring Video Object Segmentation One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T23:06:32.513024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.