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Paper Citation Record · LEDGER

Seq-NMS for Video Object Detection

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1602.08465.

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

pith.paper-citation-record.v1
1602.08465 v3

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 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:46:34.801853Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T23:35:04.464967Z

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 04b8c581-5201-40b4-bc87-490bb86c9c74 · inbound

Object Detection in Video with Spatial-temporal Context Aggregation cites this paper.

Object Detection in Video with Spatial-temporal Context Aggregation Seq-NMS for Video Object Detection

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-24T23:35:04.467493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-24T23:31:20.919268Z digest=sha256:2486478f38ad504d3bf86620cb9ab745dc6a46e9253a7dd2f7f3640bc5b69ae5

Observation 36565805-2762-4e6c-9f90-0add2cda649b · inbound

Recent Advances in Deep Learning for Object Detection cites this paper.

Recent Advances in Deep Learning for Object Detection Seq-NMS for Video Object Detection

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-14T14:08:39.057523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:08:39.057523Z digest=sha256:bfb1d2edbeaa078b5e0f267d554d7b25df2659359a5820a61a4333d67a8a591f

Observation 9145f9fb-22a7-4103-9c11-dd0a4b1f8001 · inbound

Relation Distillation Networks for Video Object Detection cites this paper.

Relation Distillation Networks for Video Object Detection Seq-NMS for Video Object Detection

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T11:13:30.032960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:13:30.032960Z digest=sha256:f3d8546586486db042ab655cec75ef06a3c954dcc3f47f2cfa05a52fda326db6

Observation a098c6ba-cbe0-435e-b780-37181926a1c4 · inbound

Temporal Coherence for Active Learning in Videos cites this paper.

Temporal Coherence for Active Learning in Videos Seq-NMS for Video Object Detection

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:21.898392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:21.898392Z digest=sha256:ac750bfba5776ee2c94711c656da64c74bd42eaa347a792da3feac07766a6a2d

Observation bcddc04c-6ac3-44dd-ac5f-74db8f31a9d5 · inbound

ApproxNet: Content and Contention-Aware Video Analytics System for Embedded Clients cites this paper.

ApproxNet: Content and Contention-Aware Video Analytics System for Embedded Clients Seq-NMS for Video Object Detection

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T10:35:41.420664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:35:41.420664Z digest=sha256:a27ba77a94275df2336e7ac047a4ff06941ff2e2737a43a7237d6c8bf83d4c27

Observation 7b4ff495-de79-40e9-b59b-290d76fa50ba · inbound

Contrastive Learning through Auxiliary Branch for Video Object Detection cites this paper.

Contrastive Learning through Auxiliary Branch for Video Object Detection Seq-NMS for Video Object Detection

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T16:46:34.801853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:46:34.801853Z digest=sha256:e4c26f816e47792f8a96f6175dc24e2f238513db1ad88c316c21cf43619d6e25

Observation e3d6944d-459f-4acb-b589-d02cdf6f49de · inbound

MR2-ByteTrack: CNN and Transformer-based Video Object Detection for AI-augmented Embedded Vision Sensor Nodes cites this paper.

MR2-ByteTrack: CNN and Transformer-based Video Object Detection for AI-augmented Embedded Vision Sensor Nodes Seq-NMS for Video Object Detection

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-19T15:27:38.891636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T15:24:11.968221Z digest=sha256:4a24bc0981e69cdafc830af91a753da75198f6395a74a22b6dfdffb47265ebc8