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Paper Citation Record · LEDGER

Agent-Centric Animal Pose Forecasting

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.19548.

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

pith.paper-citation-record.v1
2607.19548 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:29:00.003105Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

39 of 39 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2920783d-beef-4afe-925e-73f8ea3be67f · outbound

This paper cites MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior.

Agent-Centric Animal Pose Forecasting MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior

Reference 1

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source=pdf_text observed=2026-08-01T12:28:56.252912Z digest=sha256:90a0ef6966d1cbbdf180da482742bca0bd9c1b35913a59fccf28bb9a76525e2d

Observation 43e62dc8-7744-4e8d-b78a-095af6d61574 · outbound

This paper cites Ratinabox, a toolkit for modelling locomotion and neuronal activity in continuous environments.

Agent-Centric Animal Pose Forecasting Ratinabox, a toolkit for modelling locomotion and neuronal activity in continuous environments

Reference 2

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source=pdf_text observed=2026-08-01T12:28:56.330984Z digest=sha256:c725060f98f3e19e4b5ea8efa975183e75c3f30518b68519268a85a71c478d2c

Observation 47fb74f8-80f7-4358-b808-761e90cd7bd0 · outbound

This paper cites Human motion trajectory prediction: a survey.The International Journal of Robotics Research, 39(8): 895–935, June 2020.

Agent-Centric Animal Pose Forecasting Human motion trajectory prediction: a survey.The International Journal of Robotics Research, 39(8): 895–935, June 2020

Reference 3

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source=pdf_text observed=2026-08-01T12:28:56.414915Z digest=sha256:182f8554880d932fbbd555cf34ae4d8618e6bed8fc43a1bf02f6f960e5e05d4f

Observation a42408f4-50b9-4440-9300-bbc2c073de1c · outbound

This paper cites Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches.

Agent-Centric Animal Pose Forecasting Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches

Reference 4

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source=pdf_text observed=2026-08-01T12:28:56.487963Z digest=sha256:7493c5b575e0368fa1be45b85f549affd4db7cb35f4876db030a3336b98753af

Observation 5598e0b0-cf64-4a0e-b970-6e1b139a9f7e · outbound

This paper cites Salim, and Yang Song.

Agent-Centric Animal Pose Forecasting Salim, and Yang Song

Reference 5

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source=pdf_text observed=2026-08-01T12:28:56.564948Z digest=sha256:6ac288155a2e2c4dc6b98e141de4d07e5001a0a53245696b90d5da918099d153

Observation 49aecc67-653a-4784-92b1-3e33de5a7986 · outbound

This paper cites Social lstm: Human trajectory prediction in crowded spaces.

Agent-Centric Animal Pose Forecasting Social lstm: Human trajectory prediction in crowded spaces

Reference 6

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source=pdf_text observed=2026-08-01T12:28:56.634256Z digest=sha256:5b77f93280e609f53b803e1e19244b831c361f28cbcc50a8ef35b2c997b21781

Observation a0fc05cd-341d-4637-83b7-0b2e35711d30 · outbound

This paper cites DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents.

Agent-Centric Animal Pose Forecasting DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

Reference 7

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source=pdf_text observed=2026-08-01T12:28:56.722024Z digest=sha256:9619f0645018432662217488055248e9f7998cfbf5b4face6bdb436c2139e286

Observation a3a48b77-64ff-44e3-a07f-1b0a24dfa315 · outbound

This paper cites Social gan: Socially acceptable trajectories with generative adversarial networks.

Agent-Centric Animal Pose Forecasting Social gan: Socially acceptable trajectories with generative adversarial networks

Reference 8

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source=pdf_text observed=2026-08-01T12:28:56.831306Z digest=sha256:75bfd3742abadc7e8703d4319fb55d17f4d89fbffef3fa02845ea759112433c5

Observation ab4c286f-f617-42c5-a378-02313821f67b · outbound

This paper cites The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs.

Agent-Centric Animal Pose Forecasting The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs

Reference 9

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source=pdf_text observed=2026-08-01T12:28:56.936722Z digest=sha256:f7e56ff0df2a15612fb5a1b01106d264d3f543cbb33aab4d64bc62aa4de6aced

Observation e1487eff-1d1b-45a5-8064-7185ace8d934 · outbound

This paper cites AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting.

Agent-Centric Animal Pose Forecasting AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting

Reference 10

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source=pdf_text observed=2026-08-01T12:28:57.021643Z digest=sha256:051b029aac32042c0e05128709a71bf42eeecc79858bd96236715559c91f3d42

Observation a966109d-1893-40e7-8753-eb324e0bc692 · outbound

This paper cites Learning recurrent representations for hierarchical behavior modeling.

Agent-Centric Animal Pose Forecasting Learning recurrent representations for hierarchical behavior modeling

Reference 11

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source=pdf_text observed=2026-08-01T12:28:57.134779Z digest=sha256:b972ab89f6018c00ebfb682d85d847d365b3a848e1b045b1732348186b49ed23

Observation 60a306b8-9930-4195-8c3a-cc06df9223e2 · outbound

This paper cites Evaluation metrics for behaviour modeling.

Agent-Centric Animal Pose Forecasting Evaluation metrics for behaviour modeling

Reference 12

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source=pdf_text observed=2026-08-01T12:28:57.245051Z digest=sha256:3839d1e2b8c6234baf6968efdeede440679de3e89c3246c6988fa8bc201f7837

Observation a4715ca3-d8ee-4f81-bb41-f5a460d629b5 · outbound

This paper cites Recurrent Network Models for Human Dynamics.

Agent-Centric Animal Pose Forecasting Recurrent Network Models for Human Dynamics

Reference 13

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source=pdf_text observed=2026-08-01T12:28:57.321372Z digest=sha256:5562e1a3c3a116f0af057815e8150288fc76afaf2379355ba32ff982eb0d6b5e

Observation c54aeafe-8a85-4b50-afad-96b0ce487d53 · outbound

This paper cites QuaterNet: A Quaternion-based Recurrent Model for Human Motion.

Agent-Centric Animal Pose Forecasting QuaterNet: A Quaternion-based Recurrent Model for Human Motion

Reference 14

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source=pdf_text observed=2026-08-01T12:28:57.412873Z digest=sha256:afde0eb4e432ada0ed385d2669474e2279b575fd40fb9042256c938adc032bb8

Observation e9304c2d-6745-4839-94bc-d73ebb34d719 · outbound

This paper cites Tripod: Human trajectory and pose dynamics forecasting in the wild.

Agent-Centric Animal Pose Forecasting Tripod: Human trajectory and pose dynamics forecasting in the wild

Reference 15

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source=pdf_text observed=2026-08-01T12:28:57.522185Z digest=sha256:ea5777ff5ae2066c0fbc2ceaf6547f5fff015db04787f7fa01663ec308a178c4

Observation 70b6e66d-6982-48da-bdb6-677fd3dd9e56 · outbound

This paper cites SoMoFormer: Multi-Person Pose Forecasting with Transformers.

Agent-Centric Animal Pose Forecasting SoMoFormer: Multi-Person Pose Forecasting with Transformers

Reference 16

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source=pdf_text observed=2026-08-01T12:28:57.617250Z digest=sha256:6e64d426244e9e09d45750c47e45c869cafc5fe0cfbb27428c7eded70e2e3223

Observation 0d61338c-54a2-428c-ab6c-1477435cbb2a · outbound

This paper cites On human motion prediction using recurrent neural networks.

Agent-Centric Animal Pose Forecasting On human motion prediction using recurrent neural networks

Reference 17

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source=pdf_text observed=2026-08-01T12:28:57.702977Z digest=sha256:5b748ba37450bb59a4c902ec084c7ccf0a32dc720623718f2a280b675780f8a7

Observation ec86459f-37cc-475a-b45e-c8512ef83221 · outbound

This paper cites Best Practices for 2-Body Pose Forecasting.

Agent-Centric Animal Pose Forecasting Best Practices for 2-Body Pose Forecasting

Reference 18

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source=pdf_text observed=2026-08-01T12:28:57.794069Z digest=sha256:90911f54210c194ca4c5f34b865bae304a14b3cd4349404515b3cb26407def64

Observation c96f820c-bf4f-43ea-8697-8406440a3881 · outbound

This paper cites Learning Trajectory Dependencies for Human Motion Prediction.

Agent-Centric Animal Pose Forecasting Learning Trajectory Dependencies for Human Motion Prediction

Reference 19

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source=pdf_text observed=2026-08-01T12:28:57.909300Z digest=sha256:9407a11c98ce2cf857be2983b162b65ff08cd6074ee3a85afd65a4fdcd64ebd7

Observation da96f191-6364-421d-bfe0-0f22d62bfec1 · outbound

This paper cites H3wb: Human3.6m 3d wholebody dataset and benchmark.

Agent-Centric Animal Pose Forecasting H3wb: Human3.6m 3d wholebody dataset and benchmark

Reference 20

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source=pdf_text observed=2026-08-01T12:28:58.013141Z digest=sha256:93b14245a63b06e16a5f45b7beca0c7dda44b874e50e3dfe2c14808dfc4ecc1b

Observation 38ed6768-60c4-4ec8-babd-f814f5ab8177 · outbound

This paper cites Alvinn: An autonomous land vehicle in a neural network.Advances in neural information processing systems, 1, 1988.

Agent-Centric Animal Pose Forecasting Alvinn: An autonomous land vehicle in a neural network.Advances in neural information processing systems, 1, 1988

Reference 21

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source=pdf_text observed=2026-08-01T12:28:58.099239Z digest=sha256:d069415e623d6d8e0b2103c70c41f6a99fd4da89bef72f3e3837d708aca97cba

Observation c35577ed-a483-402c-aca9-86d76de0f772 · outbound

This paper cites Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning.

Agent-Centric Animal Pose Forecasting Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

Reference 22

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source=pdf_text observed=2026-08-01T12:28:58.213134Z digest=sha256:d650631105a87d0127b202bb8bc5b0889a25d82e6dcba5c635073b1453c4cf23

Observation ce970f79-f7ce-49a5-a9a9-1502d3d0970e · outbound

This paper cites Decision transformer: Reinforcement learning via sequence modeling.Advances in neural information processing systems, 34:15084–15097, 2021.

Agent-Centric Animal Pose Forecasting Decision transformer: Reinforcement learning via sequence modeling.Advances in neural information processing systems, 34:15084–15097, 2021

Reference 23

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source=pdf_text observed=2026-08-01T12:28:58.312237Z digest=sha256:f0d30ddb6f04a2e5c6cfb5a5830f4a1331fcc487daf1076537d509990ae4756b

Observation 80456a4f-6e67-439e-ac62-3e7320964f85 · outbound

This paper cites Offline Reinforcement Learning as One Big Sequence Modeling Problem.

Agent-Centric Animal Pose Forecasting Offline Reinforcement Learning as One Big Sequence Modeling Problem

Reference 24

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source=pdf_text observed=2026-08-01T12:28:58.421567Z digest=sha256:d687d732a739762df0f21fce4bdc0a3bf2ff58a892f0e43bae4313711ad63378

Observation 6a530df0-623f-4029-85d2-f47793dee00a · outbound

This paper cites Multi-Agent Reinforcement Learning is a Sequence Modeling Problem.

Agent-Centric Animal Pose Forecasting Multi-Agent Reinforcement Learning is a Sequence Modeling Problem

Reference 25

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source=pdf_text observed=2026-08-01T12:28:58.558890Z digest=sha256:45ee5eb211affe53c46e5e2fa02fd95c86f3e5e89b19a1dc8ef51e7c6f12f9c3

Observation 1db7127e-5f70-431b-83e4-a302e3235cdb · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Agent-Centric Animal Pose Forecasting RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 26

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source=pdf_text observed=2026-08-01T12:28:58.667644Z digest=sha256:bafda06b535b0e055be4b798b4ba08094924ade8a234c03b02289b7e08d57148

Observation 96bcb42a-0d7b-4f4c-92ea-2140897130de · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Agent-Centric Animal Pose Forecasting OpenVLA: An Open-Source Vision-Language-Action Model

Reference 27

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source=pdf_text observed=2026-08-01T12:28:58.783765Z digest=sha256:c6286454bb4b8cfbae21ab5c3992404bb6a36b78bf05b602a2c5f5df1fa8e66d

Observation bc55daf0-0619-4dae-b856-590cd7a9eccb · outbound

This paper cites The arcade learning environment: An evaluation platform for general agents.Journal of artificial intelligence research, 47:253–279, 2013.

Agent-Centric Animal Pose Forecasting The arcade learning environment: An evaluation platform for general agents.Journal of artificial intelligence research, 47:253–279, 2013

Reference 28

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source=pdf_text observed=2026-08-01T12:28:58.890525Z digest=sha256:fb3df269f1db97ac345b250758b951dbdcf060031454e66cb0a924935371d984

Observation cb7cc222-4746-4319-a22c-e57f1677782b · outbound

This paper cites Mujoco: A physics engine for model-based control.

Agent-Centric Animal Pose Forecasting Mujoco: A physics engine for model-based control

Reference 29

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source=pdf_text observed=2026-08-01T12:28:58.972896Z digest=sha256:4c369af623bc92148f574e4eddf7913dfc615fbe343297651c320c7be1158039

Observation 4c8a2ba2-8320-4c7b-aed3-2ea4e12a85af · outbound

This paper cites Whole-body physics simulation of fruit fly locomotion.Nature, 643(8074):1312–1320, 2025.

Agent-Centric Animal Pose Forecasting Whole-body physics simulation of fruit fly locomotion.Nature, 643(8074):1312–1320, 2025

Reference 30

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source=pdf_text observed=2026-08-01T12:28:59.082184Z digest=sha256:318625c872344e9a7186d62620899c76d7441e263bd68883ca0a777c0f8af2ed

Observation 221abf9f-b4ed-43d1-b915-821cb49c2ecd · outbound

This paper cites A virtual rodent predicts the structure of neural activity across behaviours.Nature, 632(8025):594–602, 2024.

Agent-Centric Animal Pose Forecasting A virtual rodent predicts the structure of neural activity across behaviours.Nature, 632(8025):594–602, 2024

Reference 31

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source=pdf_text observed=2026-08-01T12:28:59.148274Z digest=sha256:316d327642c68f335bdbe25dc863372c27b5ef566c38e628f3525be0028c985c

Observation ea050a17-ecce-4249-b787-f245bcee826d · outbound

This paper cites Connectome- constrained networks predict neural activity across the fly visual system.Nature, 634(8036):1132–1140, 2024.

Agent-Centric Animal Pose Forecasting Connectome- constrained networks predict neural activity across the fly visual system.Nature, 634(8036):1132–1140, 2024

Reference 32

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Observation c9883f5c-d938-4de5-8e61-8a8c0511efca · outbound

This paper cites an unresolved cited work.

Agent-Centric Animal Pose Forecasting Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-01T12:28:59.357064Z digest=sha256:8b49682b0966d1052478387b53f08ec4f35f8558b6eae6250240eab17ae8ba70

Observation b9285b85-efc3-42da-b2d0-e08445a50015 · outbound

This paper cites The fly disco: hardware and software for optogenetics and fine-grained fly behavior analysis.bioRxiv, pages 2024–11, 2024.

Agent-Centric Animal Pose Forecasting The fly disco: hardware and software for optogenetics and fine-grained fly behavior analysis.bioRxiv, pages 2024–11, 2024

Reference 34

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source=pdf_text observed=2026-08-01T12:28:59.457669Z digest=sha256:bc1382da564963588f57035fd17d0c9186d498b07afae7e8c5645a212310d77e

Observation 421823b0-7221-462a-acdd-b219912e2f52 · outbound

This paper cites Mapping the neural substrates of behavior.Cell, 170(2):393–406, 2017.

Agent-Centric Animal Pose Forecasting Mapping the neural substrates of behavior.Cell, 170(2):393–406, 2017

Reference 35

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source=pdf_text observed=2026-08-01T12:28:59.555190Z digest=sha256:f2c94b0e26f3df811b1a2f8b0731938f8a1484ab9c9659fa551a4ec009441279

Observation 57199e54-0b3f-48b4-b3b4-eefb31a44e48 · outbound

This paper cites Multi-person 3d motion prediction with multi-range transformers.

Agent-Centric Animal Pose Forecasting Multi-person 3d motion prediction with multi-range transformers

Reference 36

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source=pdf_text observed=2026-08-01T12:28:59.668714Z digest=sha256:4d2156289a911971f9a57e8ea054b3047e0ce230ef25aa7e10d37c17f7e86bd7

Observation 470722a1-718c-41e8-b870-0f91a287108d · outbound

This paper cites A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning.

Agent-Centric Animal Pose Forecasting A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning

Reference 37

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source=pdf_text observed=2026-08-01T12:28:59.768254Z digest=sha256:4de7012f95cd91415ab3ce56cb5c5ef11ef7399df7a107ab4c144933f4d9c572

Observation e699d901-aa22-4faa-9e59-35d0a421cd1a · outbound

This paper cites Alvinn: An autonomous land vehicle in a neural network.

Agent-Centric Animal Pose Forecasting Alvinn: An autonomous land vehicle in a neural network

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 164168da-78df-40f7-a164-0641947deda7 · outbound

This paper cites Insect walking.Annual review of entomology, 11(1):103–122, 1966.

Agent-Centric Animal Pose Forecasting Insect walking.Annual review of entomology, 11(1):103–122, 1966

Reference 39

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Pith citing papers

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