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Paper Citation Record · LEDGER

The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1905.00737.

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

pith.paper-citation-record.v1
1905.00737 v1

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 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:33:33.227991Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T07:59:40.486754Z

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 4c13f1b5-166f-47a8-ab0c-60c816748cb5 · inbound

SAM 2: Segment Anything in Images and Videos cites this paper.

SAM 2: Segment Anything in Images and Videos The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:56:25.363919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T13:56:25.331304Z digest=sha256:d24a30f990e21de32606a5dd16078edef14474a0bed8f8f00335a29b4f3f7a7a

Observation f23c99ae-d034-4b14-aa9c-d74a7e8e50eb · inbound

FTIO: Frequent Temporally Integrated Objects cites this paper.

FTIO: Frequent Temporally Integrated Objects The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T17:33:33.227991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:33:33.227991Z digest=sha256:bb690f46182678354105ecb1b9c1715f22ab40547b40635da6fc4cee6aa3b958

Observation 1f439b7b-b054-4b52-8a43-5bb14697f2f5 · inbound

VoCap: Video Object Captioning and Segmentation from Any Prompt cites this paper.

VoCap: Video Object Captioning and Segmentation from Any Prompt The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T14:01:15.973996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:01:15.973996Z digest=sha256:0e6bada3625a611d3e91827266a3647162c1f9a4b9180058a9f23a39bd21fd0c

Observation 53db20c6-0b43-4298-b49d-2c76c3a8c621 · inbound

InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem cites this paper.

InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T18:26:32.622111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:26:32.622111Z digest=sha256:4907bed47e7d228b7d5d8ea3a700ddbb9c9a15db659fa266be5c82075b86c0d8

Observation 51dec92f-ddc9-4d26-9b44-25ab9e107219 · inbound

Adaptive Tokenisation Via Temporal Redundancy Masking And Latent Inpainting cites this paper.

Adaptive Tokenisation Via Temporal Redundancy Masking And Latent Inpainting The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-02T11:46:56.096195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T02:55:00.586061Z digest=sha256:a531af21593b4cb383f10d76e3a5f4d9acd1bbd6661e5f88c2ec40e398c4cf5c

Observation 7685b98c-d8c2-41b6-a9e0-8de5365f3186 · inbound

RARM: Confidence-Gated Progress Reward Modeling for RL in Manipulation cites this paper.

RARM: Confidence-Gated Progress Reward Modeling for RL in Manipulation The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-07-04T07:59:40.488065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T12:17:55.913154Z digest=sha256:411827138a71cd0037f35b86fce892d17f0ea449eccbbb33634fca6ddd0eef26