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Paper Citation Record · LEDGER

Promptable Animal Pose Tracking Across Species

As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2608.04995.

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

pith.paper-citation-record.v1
2608.04995 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:01:52.739249Z

measured 51 of 51 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

  • verified exact2
  • verified fuzzy43
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9686196c-b4cb-4cf5-b7ca-e8c13aed4ef5 · outbound

This paper cites Consistent multi-animal pose estimation in cattle using dynamic kalman filter based tracking.

Promptable Animal Pose Tracking Across Species Consistent multi-animal pose estimation in cattle using dynamic kalman filter based tracking

Reference 1

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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.

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Observation b62ecb1e-46da-4bce-8e11-41210129b5e3 · outbound

This paper cites Real-time cattle pose estimation based on improved rtmpose.

Promptable Animal Pose Tracking Across Species Real-time cattle pose estimation based on improved rtmpose

Reference 2

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raw_fallback, observed 2026-08-06T12:01:54.006532Z

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.

source=pdf_text observed=2026-08-06T12:01:52.343043Z digest=sha256:54b83a303f27f21b2b6479db933fcfb5a5c037d2b6c0fbc5223e7615032519dd

Observation d56201e0-f3ce-44eb-8172-b21404110111 · outbound

This paper cites Multi-animal 3d social pose estimation, identification and behaviour embedding with a few-shot learning framework.

Promptable Animal Pose Tracking Across Species Multi-animal 3d social pose estimation, identification and behaviour embedding with a few-shot learning framework

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.986874Z

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.

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Observation 52ce59f4-b282-47a5-b9c7-fb71a1c31211 · outbound

This paper cites Whole-Herd Elephant Pose Estimation from Drone Data for Collective Behavior Analysis.

Promptable Animal Pose Tracking Across Species Whole-Herd Elephant Pose Estimation from Drone Data for Collective Behavior Analysis

Reference 4

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verified exact
local_arxiv, observed 2026-08-06T12:01:52.998469Z

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.

source=pdf_text observed=2026-08-06T12:01:52.357531Z digest=sha256:fec0a0371767c3669d10f7ccbd0dc98388d9201453953a571cb6a1ad3b789935

Observation 9de4a15d-9d97-40b7-8b42-c0eab0aa93df · outbound

This paper cites Omni-supervised joint detection and pose estimation for wild animals.

Promptable Animal Pose Tracking Across Species Omni-supervised joint detection and pose estimation for wild animals

Reference 5

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raw_fallback, observed 2026-08-06T12:01:53.965561Z

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.

source=pdf_text observed=2026-08-06T12:01:52.365345Z digest=sha256:30d2b6673f94227a19ea60263f5bde0b6dd250f2e318b7ce27385a16a1d2abdc

Observation 5aa917a2-1497-4d5d-ac15-6a0667730a12 · outbound

This paper cites Towards Multi-Modal Animal Pose Estimation: A Survey and In-Depth Analysis.

Promptable Animal Pose Tracking Across Species Towards Multi-Modal Animal Pose Estimation: A Survey and In-Depth Analysis

Reference 6

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unresolved
no resolver link, observed 2026-08-06T12:01:52.375532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:01:52.375532Z digest=sha256:4661e273af8d1fbb650105bdcde85794b6bffd027b51f62a88262ccf411ea169

Observation 994d455b-0508-409d-a668-7884dc948249 · outbound

This paper cites Multi-animal pose estimation and tracking with deeplabcut.

Promptable Animal Pose Tracking Across Species Multi-animal pose estimation and tracking with deeplabcut

Reference 7

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raw_fallback, observed 2026-08-06T12:01:53.946919Z

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.

source=pdf_text observed=2026-08-06T12:01:52.387783Z digest=sha256:62d807535f8251b08559dfc0ea4ef493c1585971cc1e4107c1b1e369cb0cdae8

Observation 8ff5ebaa-c67e-4765-b574-e0ce6c86cabe · outbound

This paper cites Multi-animal pose estimation, identification and tracking with deeplabcut.

Promptable Animal Pose Tracking Across Species Multi-animal pose estimation, identification and tracking with deeplabcut

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.925150Z

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.

source=pdf_text observed=2026-08-06T12:01:52.403402Z digest=sha256:d0cd9934afd5d21bf15f125813c14be4f02c306c3b07b21c5dac8d839594a259

Observation 6fb9cce1-d499-4fa9-b5df-188def9522d3 · outbound

This paper cites Sleap: Multi-animal pose tracking.

Promptable Animal Pose Tracking Across Species Sleap: Multi-animal pose tracking

Reference 9

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raw_fallback, observed 2026-08-06T12:01:53.904762Z

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.

source=pdf_text observed=2026-08-06T12:01:52.411570Z digest=sha256:3bbbe3df480289669ac86981b82492aca621b66c3836ab3edb946c11cdc2067b

Observation 7e14f317-4e32-4ae6-a613-58a37d3b88f1 · outbound

This paper cites Fast animal pose estimation using deep neural networks.

Promptable Animal Pose Tracking Across Species Fast animal pose estimation using deep neural networks

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.875459Z

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.

source=pdf_text observed=2026-08-06T12:01:52.418943Z digest=sha256:ceef39632033f22b18cc764886235a095374261736d69d21e2f0b4479043800f

Observation 03fd611d-d4ff-4ebe-8697-12968413128d · outbound

This paper cites I-muppet: Interactive multi-pigeon pose estimation and tracking.

Promptable Animal Pose Tracking Across Species I-muppet: Interactive multi-pigeon pose estimation and tracking

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.852760Z

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.

source=pdf_text observed=2026-08-06T12:01:52.425052Z digest=sha256:df0e9f9f87c949c917029e6cfa2a9202b132f462157133a4e7ae873701e9de90

Observation 2b5b2dd0-f96c-43c4-98fd-c1199beee393 · outbound

This paper cites 3d-muppet: 3d multi-pigeon pose estimation and tracking.

Promptable Animal Pose Tracking Across Species 3d-muppet: 3d multi-pigeon pose estimation and tracking

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.824373Z

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.

source=pdf_text observed=2026-08-06T12:01:52.430758Z digest=sha256:3a4a3c53cb2ce89f5a6adfe6be3d87f97fc56f5f8893c1a635fb26d7b2a1bf2b

Observation 444e1412-d0b6-4c88-8590-22a5b3deb122 · outbound

This paper cites Pigpose: A realtime frame- work for farm animal pose estimation and tracking.

Promptable Animal Pose Tracking Across Species Pigpose: A realtime frame- work for farm animal pose estimation and tracking

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.799258Z

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.

source=pdf_text observed=2026-08-06T12:01:52.441271Z digest=sha256:a92d287ae69c5adce2b9df9c3655f57c555b4a55bed1d7c6ac64f2a9d6d612c5

Observation e35bbb7a-cb13-412c-b42d-f790746b5a43 · outbound

This paper cites Adoption of mmpose, a general purpose pose estimation library, for animal tracking.

Promptable Animal Pose Tracking Across Species Adoption of mmpose, a general purpose pose estimation library, for animal tracking

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.779070Z

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.

source=pdf_text observed=2026-08-06T12:01:52.447775Z digest=sha256:12a1963612eda6a30e09b5e7dd9e526b7b1d0742ae144eeee7a7414e970f24bd

Observation 42f58ae8-00ac-4276-bbbb-e9317c624a7f · outbound

This paper cites Learning from synthetic animals.

Promptable Animal Pose Tracking Across Species Learning from synthetic animals

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.754865Z

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.

source=pdf_text observed=2026-08-06T12:01:52.454645Z digest=sha256:9963ee7b863b01da2ba5308e11ec8023e781153cc2f6adaeda35a7de8b604e24

Observation befb0008-6910-402f-a350-54a18e6d359b · outbound

This paper cites From synthetic to real: Unsupervised domain adaptation for animal pose estimation.

Promptable Animal Pose Tracking Across Species From synthetic to real: Unsupervised domain adaptation for animal pose estimation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.729286Z

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.

source=pdf_text observed=2026-08-06T12:01:52.461829Z digest=sha256:de7ebace4a92506a0a6cdb477d2a3d0cf9096f39140595ffeff5066c36cb1ca9

Observation cc2e682a-092a-44ef-a24b-6551b9e60828 · outbound

This paper cites Sydog-video: A synthetic dog video dataset for temporal pose estimation.

Promptable Animal Pose Tracking Across Species Sydog-video: A synthetic dog video dataset for temporal pose estimation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.698369Z

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.

source=pdf_text observed=2026-08-06T12:01:52.468407Z digest=sha256:20e7fa5b4aebfabdbd240792f29efcba6f6e5045be983f6f8d2f7541faff6800

Observation 7a894e41-8628-4d0c-82b2-94b91025ce05 · outbound

This paper cites Scarcenet: Animal pose estimation with scarce annotations.

Promptable Animal Pose Tracking Across Species Scarcenet: Animal pose estimation with scarce annotations

Reference 18

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raw_fallback, observed 2026-08-06T12:01:53.674700Z

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.

source=pdf_text observed=2026-08-06T12:01:52.476555Z digest=sha256:54ba0065745ed2b4b2327c6eb543e0dd09fea15a90f808fb9aee76f3a51ec5c8

Observation 268faec4-aaab-43f6-aecf-f573706d6597 · outbound

This paper cites Superanimal pretrained pose estimation models for behavioral analysis.Nature communications, 15:5165, 2024.

Promptable Animal Pose Tracking Across Species Superanimal pretrained pose estimation models for behavioral analysis.Nature communications, 15:5165, 2024

Reference 19

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raw_fallback, observed 2026-08-06T12:01:53.646886Z

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.

source=pdf_text observed=2026-08-06T12:01:52.482462Z digest=sha256:28a2f476ee0b921f92f6068d6010e33b2665b7ec43c11329635e77be5005bd66

Observation 76778107-da49-4a73-87f9-bedaa240b5df · outbound

This paper cites DINOv3.

Promptable Animal Pose Tracking Across Species DINOv3

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T12:01:52.489071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:01:52.489071Z digest=sha256:7c2f1d837b4a3d6e9ee8097f2561bee67b71e962d760406c086d98b4e5dc3631

Observation 216ef887-5210-437f-9e99-62d34e8a443e · outbound

This paper cites Diffusion hyperfeatures: Searching through time and space for semantic correspondence.

Promptable Animal Pose Tracking Across Species Diffusion hyperfeatures: Searching through time and space for semantic correspondence

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.628360Z

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.

source=pdf_text observed=2026-08-06T12:01:52.498770Z digest=sha256:5dfa74c875672a089c03e26832d677272e8c6d3fc1fa8473a0681b0f1c5be466

Observation e0f8deca-bfa2-405c-abd6-c6c2a2f0d156 · outbound

This paper cites Cleandift: Diffusion features without noise.

Promptable Animal Pose Tracking Across Species Cleandift: Diffusion features without noise

Reference 22

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raw_fallback, observed 2026-08-06T12:01:53.608092Z

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.

source=pdf_text observed=2026-08-06T12:01:52.506628Z digest=sha256:f23cb9ddc8169afc5febcce6a498d3db3114fcfc26ce53fb07ae0a8e16642df8

Observation 86171553-d127-4b1a-92ca-b6c66164bd89 · outbound

This paper cites Dino-tracker: Taming dino for self-supervised point tracking in a single video.

Promptable Animal Pose Tracking Across Species Dino-tracker: Taming dino for self-supervised point tracking in a single video

Reference 23

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raw_fallback, observed 2026-08-06T12:01:53.582847Z

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.

source=pdf_text observed=2026-08-06T12:01:52.512524Z digest=sha256:ba945e547ff376e95fa6b2110df4f40135c30f361b3589d6fbdad8b43abc30be

Observation 952f7080-dede-4ffd-bda3-8cc53e0d1a1f · outbound

This paper cites Zebrapose: Zebra detection and pose estimation using only synthetic data.

Promptable Animal Pose Tracking Across Species Zebrapose: Zebra detection and pose estimation using only synthetic data

Reference 24

Resolution
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raw_fallback, observed 2026-08-06T12:01:53.550855Z

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.

source=pdf_text observed=2026-08-06T12:01:52.518027Z digest=sha256:bc9d70da42a81ee01ae06eec35eef1b9dda9dd25df854161d73e9032deb59f5a

Observation 7bb45131-69ae-41a2-8bb5-a8b9eb2278ac · outbound

This paper cites Deep residual learning for image recognition.

Promptable Animal Pose Tracking Across Species Deep residual learning for image recognition

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T12:01:52.523947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:01:52.523947Z digest=sha256:7994c2837631413577958c3b443fe691e88542e193506e4d53e5d6742e11c58a

Observation ba340cd6-04fb-4df9-8a25-f748deb5bd95 · outbound

This paper cites Stacked hourglass networks for human pose estimation.

Promptable Animal Pose Tracking Across Species Stacked hourglass networks for human pose estimation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.507056Z

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.

source=pdf_text observed=2026-08-06T12:01:52.529967Z digest=sha256:bb37542da6f5ca6fc93d1d46f5bf511df9be1943ac9ee0541be263dad848320b

Observation 2e40ad0a-9330-4835-bd0d-62af40fd0b09 · outbound

This paper cites Openpose: Realtime multi-person 2d pose estimation using part affinity fields.

Promptable Animal Pose Tracking Across Species Openpose: Realtime multi-person 2d pose estimation using part affinity fields

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.486061Z

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.

source=pdf_text observed=2026-08-06T12:01:52.537609Z digest=sha256:f88c6cc4443c679aa7bdade8c385a439f2e44f47dcc69b8f9da80197f16aab4f

Observation 10e7914d-6bda-4440-9a46-b6bd3822e636 · outbound

This paper cites Deep high-resolution representation learning for visual recognition.

Promptable Animal Pose Tracking Across Species Deep high-resolution representation learning for visual recognition

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.467933Z

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.

source=pdf_text observed=2026-08-06T12:01:52.544568Z digest=sha256:f5a3d987561417417dc7decd99dac8c6349cb56d418cf388cdcf056f270c1b63

Observation 5218d57d-4188-48f7-9fbe-15012e15581e · outbound

This paper cites AP-10K: A Benchmark for Animal Pose Estimation in the Wild.

Promptable Animal Pose Tracking Across Species AP-10K: A Benchmark for Animal Pose Estimation in the Wild

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T12:01:52.554313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:01:52.554313Z digest=sha256:e20445ce722fb226fd4c4c659df4e8807accb4b361a870f71a40b11a532edd57

Observation 07db8a6d-d979-4264-8832-f8354aca0d2d · outbound

This paper cites Cross-domain adapta- tion for animal pose estimation.

Promptable Animal Pose Tracking Across Species Cross-domain adapta- tion for animal pose estimation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.445164Z

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.

source=pdf_text observed=2026-08-06T12:01:52.561020Z digest=sha256:1724d898737cf362e562df82d1e00ceca2a1accc96e189c855cf9bf4e06917ad

Observation f5c1cde6-550a-41b4-bc1e-712a61fc305f · outbound

This paper cites Bioclip: A vision foundation model for the tree of life.

Promptable Animal Pose Tracking Across Species Bioclip: A vision foundation model for the tree of life

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.426763Z

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.

source=pdf_text observed=2026-08-06T12:01:52.566573Z digest=sha256:135db6d25264ad5925c6f284d3fad654b65905d4fa65bcec83cc228ca5810683

Observation 997c4ebd-f2a1-4946-8973-efbb5e153dee · outbound

This paper cites Diffpose: Spatiotemporal diffusion model for video-based human pose estimation.

Promptable Animal Pose Tracking Across Species Diffpose: Spatiotemporal diffusion model for video-based human pose estimation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.407588Z

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.

source=pdf_text observed=2026-08-06T12:01:52.571866Z digest=sha256:3063c4cdcda1a411409eb558b2e41bdc3cb90121e18791e4e7b2b3274b993e9f

Observation 714ff3a7-14c1-428b-aaa0-d6b3eab1461a · outbound

This paper cites Diffusion model with temporal constraint for 3d human pose estimation: Z.

Promptable Animal Pose Tracking Across Species Diffusion model with temporal constraint for 3d human pose estimation: Z

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.388389Z

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.

source=pdf_text observed=2026-08-06T12:01:52.579743Z digest=sha256:dbfdbf58349fa8adb1c39a8d0a00e911e82a72c885136ddcd05fbfb354308d3c

Observation 9d5e0be5-a7e8-460b-9bab-a077247e5e61 · outbound

This paper cites Diffusion-based action recognition gener- alizes to untrained domains.

Promptable Animal Pose Tracking Across Species Diffusion-based action recognition gener- alizes to untrained domains

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.369762Z

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.

source=pdf_text observed=2026-08-06T12:01:52.594569Z digest=sha256:f9b7b6e146a3941c2bc51930d63523d6026b08d7b3925b505f63c8999b7618ea

Observation 3667f192-2745-4141-9b5d-0f726dd3560d · outbound

This paper cites Dposer-x: Diffusion model as robust 3d whole-body human pose prior.

Promptable Animal Pose Tracking Across Species Dposer-x: Diffusion model as robust 3d whole-body human pose prior

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.351733Z

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.

source=pdf_text observed=2026-08-06T12:01:52.600315Z digest=sha256:54006d3ad861fbc3bf604c96fc4dbf9c8f1f77dd53f305359a1bddc1b079dc82

Observation 64053529-fb8d-4b9c-8ab3-a2e1bcf96fec · outbound

This paper cites T-leap: Occlusion-robust pose estimation of walking cows using temporal information.

Promptable Animal Pose Tracking Across Species T-leap: Occlusion-robust pose estimation of walking cows using temporal information

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.330608Z

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.

source=pdf_text observed=2026-08-06T12:01:52.608111Z digest=sha256:ab6c37189ba94905ca4fecfba2eae3eec5f3822452d554db25a21d631183c7ee

Observation 21726d12-01f9-4247-b31b-a38e1dd819b1 · outbound

This paper cites Deeplabcut: markerless pose estimation of user-defined body parts with deep learning.

Promptable Animal Pose Tracking Across Species Deeplabcut: markerless pose estimation of user-defined body parts with deep learning

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.311924Z

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.

source=pdf_text observed=2026-08-06T12:01:52.615924Z digest=sha256:19bda837d05bdb06e8543a1fd2bb971513df6a8be4ce28ff9cd43d27b9375aa0

Observation f1ede9c9-5800-42fd-913e-f2439764d1cc · outbound

This paper cites Simple online and realtime tracking.

Promptable Animal Pose Tracking Across Species Simple online and realtime tracking

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.291891Z

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.

source=pdf_text observed=2026-08-06T12:01:52.627840Z digest=sha256:2fe633564d70b38343461646d8e15a72589c23df3ffbb368968c69b2bcc91101

Observation 704dea77-c53c-47e3-aecf-3b84f0092f64 · outbound

This paper cites Animal Pose Labeling Using General-Purpose Point Trackers.

Promptable Animal Pose Tracking Across Species Animal Pose Labeling Using General-Purpose Point Trackers

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:01:52.874020Z

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.

source=pdf_text observed=2026-08-06T12:01:52.633687Z digest=sha256:95de8d4257b78724ba3ef3a9ba2ff6a8b5467b62a07ddac1e3ddc1b4c2e99cbb

Observation e35e794d-ddf1-41f1-8957-e3da3123dc9f · outbound

This paper cites Co- tracker3: Simpler and better point tracking by pseudo-labelling real videos.

Promptable Animal Pose Tracking Across Species Co- tracker3: Simpler and better point tracking by pseudo-labelling real videos

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.266539Z

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.

source=pdf_text observed=2026-08-06T12:01:52.640162Z digest=sha256:dd66783cbe46d8ae39267a45e26c6a181aa67a1a286af01ebd77815189937312

Observation d888a0a0-ae48-4da5-b1c1-de4d668c5b4b · outbound

This paper cites Tapir: Tracking any point with per-frame initialization and temporal refinement.

Promptable Animal Pose Tracking Across Species Tapir: Tracking any point with per-frame initialization and temporal refinement

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.239907Z

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.

source=pdf_text observed=2026-08-06T12:01:52.663058Z digest=sha256:78550461789c547340b3cfdae864badb2e9874e87987d4c568f6b1d6a8c81651

Observation be166173-4b60-400c-aaeb-3c1c1d76e498 · outbound

This paper cites Alltracker: Efficient dense point tracking at high resolution.

Promptable Animal Pose Tracking Across Species Alltracker: Efficient dense point tracking at high resolution

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.218553Z

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.

source=pdf_text observed=2026-08-06T12:01:52.669119Z digest=sha256:898c83473feaadcb1e7b1fddd098e1a6ea919fbe2e7225c5a9e4f437f400dc56

Observation ea85804c-b060-4d84-878b-88287bbd19e3 · outbound

This paper cites Apt-36k: A large-scale bench- mark for animal pose estimation and tracking.

Promptable Animal Pose Tracking Across Species Apt-36k: A large-scale bench- mark for animal pose estimation and tracking

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.194156Z

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.

source=pdf_text observed=2026-08-06T12:01:52.677796Z digest=sha256:3bb572b1ef25d1d736a63078b1f5b8572add88828a25a2412c18c3e4a7d50b30

Observation bbe75ecf-aed8-4bb8-a533-d670dd247627 · outbound

This paper cites RoMa v2: Harder Better Faster Denser Feature Matching.

Promptable Animal Pose Tracking Across Species RoMa v2: Harder Better Faster Denser Feature Matching

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T12:01:52.685709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:01:52.685709Z digest=sha256:4b0adc73ad66f5bc26bf2f3faa3f9019ac913b04a14a6d5eb406270f349b8594

Observation 15cf1b11-fb57-4406-9ec9-1a6963253889 · outbound

This paper cites APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and Beyond.

Promptable Animal Pose Tracking Across Species APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and Beyond

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T12:01:52.692819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:01:52.692819Z digest=sha256:e637d47e98d4863784cd02965902ab9dcf7936d9bd8a64101bca8d932d0d463c

Observation ed9c3a0f-4061-40ad-8d8a-8e111d27235d · outbound

This paper cites Behavior discovery and alignment of articulated object classes from unstructured video.

Promptable Animal Pose Tracking Across Species Behavior discovery and alignment of articulated object classes from unstructured video

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.168555Z

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.

source=pdf_text observed=2026-08-06T12:01:52.705951Z digest=sha256:91746fcae22cea8794bb2f0e666b235994742efeacb09f03697430df7501c4de

Observation 7a5e671f-1c0d-45f7-8db3-9817ea7c20cf · outbound

This paper cites Tap-vid: A benchmark for tracking any point in a video.

Promptable Animal Pose Tracking Across Species Tap-vid: A benchmark for tracking any point in a video

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.145829Z

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.

source=pdf_text observed=2026-08-06T12:01:52.711070Z digest=sha256:0cf87b786a1d179b987e72daa5737bc8545ac71862284310e004be0592e016fb

Observation 0bd6cbb5-f0b1-425c-8d82-8fac8edb900e · outbound

This paper cites Dynamicstereo: Consistent dynamic depth from stereo videos.

Promptable Animal Pose Tracking Across Species Dynamicstereo: Consistent dynamic depth from stereo videos

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.101777Z

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.

source=pdf_text observed=2026-08-06T12:01:52.718678Z digest=sha256:fc57f4ef4593aa66f60effce496f20d6aa126baf47babc1afa917a70d4afe8ee

Observation 7d92150f-07d3-4e48-8b1f-a16833fe9b8c · outbound

This paper cites Pointodyssey: A large- scale synthetic dataset for long-term point tracking.

Promptable Animal Pose Tracking Across Species Pointodyssey: A large- scale synthetic dataset for long-term point tracking

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.079026Z

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.

source=pdf_text observed=2026-08-06T12:01:52.726089Z digest=sha256:3b29fd34309a17bfeca9b7bff7f2246a01e2d91faed63a495e358890fd1deae4

Observation 551cc537-3324-461f-af8c-f7acc203653b · outbound

This paper cites Bootstap: Bootstrapped training for tracking-any-point.

Promptable Animal Pose Tracking Across Species Bootstap: Bootstrapped training for tracking-any-point

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.054241Z

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.

source=pdf_text observed=2026-08-06T12:01:52.732656Z digest=sha256:c428f71069e6e989946b043ad86fd0f3e0516292b7f15b03342094856dd4c7e2

Observation c8171204-8003-41db-ac9e-504fb9b09cb5 · outbound

This paper cites Microsoft coco: Common objects in context.

Promptable Animal Pose Tracking Across Species Microsoft coco: Common objects in context

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:01:53.026284Z

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.

source=pdf_text observed=2026-08-06T12:01:52.739249Z digest=sha256:13532a52f7e448ae97b9f4557321db8cdb0de4bc0689982a63cb8f932703ed1c

Pith citing papers

No inbound Pith citation observations are available.