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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.

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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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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=sha256:310858c0032e82b0c28db4364aec1895450433aec382574687b2936c290b652d

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=sha256:18a7266217b0d620254b8d38f2b13ffac2aa1e04db9cc0a710b0bf380d5aee8e

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:da14cdc21fb5f9ac75277c078b0469f3cb46c08f72b289a5ab70feb968eaab13

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=sha256:79bf54ca2d16a85c3083e85356ed5e98bbb20ded9d449cdf86a0273d7ef1dd16

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=sha256:9d3cc490dc1fc2e987aea53eff28f58c14e6a79dcf163818ef61b1e175e7b232

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

Resolution
verified fuzzy
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=sha256:8226b855e0706efa3656b7d6bc0957caea89f922b791252667fc355aed5d340c

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:ec6c2f177960a51b7218fd5f55b67d5cd548d7d9e1c1a0b36a133e01be514ffe

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:bb3cb509a8c32ef6409774faee31d16d873b965d14f592ac0409debffb8bca9e

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=sha256:82646096b6a7a25ce28b73be8cf86cf1b5c0b81ed00add6213bee0c6ec1f8d46

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
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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:a6000420e356f0732dba0535e082624e4e2dff02775d3a94e6ecb39c4443b88d

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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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:e27252c40eab52b65f0fb1fd5044c19dce12e14abf79005ea6a2f7ab04493ddc

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:e5d0ee4ea1a277adf383c56ecf94a607ad98a820fc47eb7cfb4285c5ce29cbc3

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
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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=sha256:7ca10c1f4d04f3bb1de0bdc0245b9821402106ea39d160266d6080e3113b8432

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
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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=sha256:60f6bdecb43ac124b9d64f984177cac053b5576077333a9455a25d0b65aa0344

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=sha256:3886bce314f55d250b2561ec6de20a019644e2f403c7b23c1e92a1444deb207a

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=sha256:338a10fb27b6338dbb4267167f8cf9fb87473a04a31a606aae0073b5af1da309

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=sha256:338074d3261c46fc713693701b240cb7abc023e87e44068d880a5cefa63b18c2

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:d7faa5e2e355f03d641cb14fe20f52f790a5a78ec54f9a1e868d50c8ab9ab622

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

Resolution
verified fuzzy
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:b31c58f71bd03e1a9b174d09bcaa4b941fbaf804eea2d187c258b3f627a70a9c

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

Resolution
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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=sha256:6816141349e0f7ba25ab608461edadf0aca153c3bf56e3289f783e70c03e0bd3

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
verified fuzzy
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=sha256:96a46b93fa87514d1a920f10ecc8af2700ed521d92c64b494b3363b5c701e92e

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=sha256:1bd8fe78d017f8ae2867784b85c73540e0f642a57ae2bd7109cae924b97741cd

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=sha256:758e398515e03d4ea1728a6f6d8c3ce5089d7530aeee474f78f48fdf42799f40

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=sha256:4bd4b9a1100e9c4be2fdbe1bd425a8c1be37d8e3067be0012b3f936445133f76

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=sha256:1c653344966feb6e077e82d4fb41b4e1ad9855f43a34ab207f27ebce22aab147

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=sha256:42b56cc97d442cfe68d66b16a765278a62d0156c684b0b58c675b2912c2d7891

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=sha256:6388c197377a793d727b93d13dede43d2b2a6219a2590232e3e259dabb6554a2

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:ac3a7910e630670362b7ae734f5180b5701fe32cf6bacee2fe107ca49a18cff7

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=sha256:5b1037817b5a82cd1f4396db5a1d7a94dc328041beaf7d7b21714508da4e3ba9

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=sha256:49936af2b37f484dc5d463f70282abdbac49e72bff858c5444b1fef563a524b2

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=sha256:6482d84ff70c2a00acae732cbf8f3e1603dbbf7e103a54b5ae8ae19399f5bf7b

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=sha256:3bbc08388b97b88dcd5f637891c569ad22c56c7743fc855e97577ede60fc6a4c

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=sha256:1b156afd4fdb8d8003e5b1774c810e1bf6f1c697a509cb7e9a7e3921987bf635

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=sha256:781fa5475876cd09a6948cfc380e6a768c0b07e58521620a6ce896960f587a4d

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=sha256:078e1b3dc07a4cbe9ef33a9f24803ba74e833d90b702c0a74874b3ab1b3d4f9f

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:d90fe53456e3ef8580237a12b73f82a602a6bfa7ee7408411659706cf17cd11a

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=sha256:82a0a193978115635158a6266d57e7fe45d7bb7737083d12125a1e1536cb676a

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=sha256:224103c5cb744612ad187b06f8a22cd0a41dbd11e56bd0545ea478f53cc5b12c

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:bfdc78a3fd0ef24e6e11c94c40e2ab8cf410d600af3e990341314140b90cbef5

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:d286550ba9aecd177a92248f75b83fdb42816d6f1c9afd111cd35e7584051831

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=sha256:97eca6bc7afa0e9b5279f50dc9e2cb8db912ce80ad50538e2082bb51a8b26e43

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:cbdeab504fa1f5e7b32aee4567182002113c34dc8f43f627a39e5ed453dd93f3

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:b686a773559780438af43467369b26043b3078a9af04636c5a813c6b65a89aef

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=sha256:2fbe2d410b68490e517fa681de92434d9c650faced981d171f7fe07ab2109d0c

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=sha256:55880a8e4ed59f5a049594d0d32861356bb1e68bb87da9464ef0266be722d368

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=sha256:67448ed6ce4c48b61c286e30b0195cd50b76b889ddf1482441117fa6b4780fee

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=sha256:3d9454d85aa28c62b5de6ced23a7b9a1a05a838bb60f50bab45bc72419713bba

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:ec6e25b19dbc8a2d475cce89d0241fbd7bad6e2569a0b2344654db5b92092087

Pith citing papers

No inbound Pith citation observations are available.