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Paper Citation Record · LEDGER

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting

As of 6 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2509.09210.

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

pith.paper-citation-record.v1
2509.09210 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:34:05.275292Z

measured 49 of 49 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 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

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved49
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2fb79509-b7b7-4481-a8bc-989cf66a8693 · outbound

This paper cites write newline.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting write newline

Reference 1

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no resolver link, observed 2026-08-04T19:34:00.582023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:00.582023Z digest=sha256:621fff8327cbe0ef4f1f3b707984f4201f17294e029e3e3ad918d43e55c7abd4

Observation a0359391-7c45-4a94-ad1b-6eae8595b34c · outbound

This paper cites , author Liu, W.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Liu, W

Reference 2

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no resolver link, observed 2026-08-04T19:34:00.640460Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:00.640460Z digest=sha256:14e76570d61ffa5d603721a0dd294a333fe7c5b606af249ebd0e058eea614f87

Observation c1aa6c9e-389d-41ca-ac68-6583b2c7438e · outbound

This paper cites , author Boukerche, A.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Boukerche, A

Reference 3

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no resolver link, observed 2026-08-04T19:34:00.734466Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:00.734466Z digest=sha256:b86d1e828a250b47d9863c061cd5fbacc070fce42c030f89601fc41bfbd6a8eb

Observation 2462c97d-07ca-4f30-877d-d8355a252312 · outbound

This paper cites , author Krizhevsky, A.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Krizhevsky, A

Reference 4

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no resolver link, observed 2026-08-04T19:34:00.801569Z

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source=arxiv_source observed=2026-08-04T19:34:00.801569Z digest=sha256:f8e9c8b03b2e310a86c6b933e159dd324c613987c01dd7158bb16c737325f7b9

Observation d192a404-4c21-4072-b3ef-0964b6c6778d · outbound

This paper cites , author Gulino, C.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Gulino, C

Reference 5

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no resolver link, observed 2026-08-04T19:34:00.850391Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:00.850391Z digest=sha256:6d01aefe829bca3f197aedfd6e4a58a949b6b7708cfb28df62a94886bdb4f604

Observation a169fb12-ecf1-43c6-b21e-532e21160155 · outbound

This paper cites , author Luo, W.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Luo, W

Reference 6

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no resolver link, observed 2026-08-04T19:34:00.921228Z

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source=arxiv_source observed=2026-08-04T19:34:00.921228Z digest=sha256:6390b42911ed5f05b0314b73d985c2f1d6cd15bfa704bd91b1af16d92da01b0e

Observation ca77cd94-b75d-4fb5-987d-a004819ad97e · outbound

This paper cites , author Sapp, B.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Sapp, B

Reference 7

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no resolver link, observed 2026-08-04T19:34:00.985749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:00.985749Z digest=sha256:af4a69eaaffceb5c9c3e812f0f6482d9720998a7324272f2d98efb4c61a96516

Observation e6715b94-d9fc-4c89-ad33-779eb7ef31ce · outbound

This paper cites , author Wang, J.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Wang, J

Reference 8

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no resolver link, observed 2026-08-04T19:34:01.018514Z

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source=arxiv_source observed=2026-08-04T19:34:01.018514Z digest=sha256:0c58ce923fe3046a6cd8cd975d4bf854f873eea8bd3069d998a09ae6e46d6882

Observation 72eea255-5516-4a73-b68e-50e4cc4cb964 · outbound

This paper cites , author Mei, X.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Mei, X

Reference 9

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no resolver link, observed 2026-08-04T19:34:01.079526Z

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source=arxiv_source observed=2026-08-04T19:34:01.079526Z digest=sha256:d078ce38409162baa27d63623226d47c8927856ae51624cbc3aa158e4dfcd644

Observation 2f2775ac-fe85-4acf-8945-8e4208e472dc · outbound

This paper cites , author Radosavljevic, V.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Radosavljevic, V

Reference 10

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no resolver link, observed 2026-08-04T19:34:01.138242Z

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source=arxiv_source observed=2026-08-04T19:34:01.138242Z digest=sha256:f7cbdb5b7962a2a51ba95e4a497e01c5ad765c5d000c558e021e1dfaad885b05

Observation 3b3f53aa-2e12-4dcb-9fdb-d99bdf395eb9 · outbound

This paper cites , author Zhou, H.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Zhou, H

Reference 11

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source=arxiv_source observed=2026-08-04T19:34:01.212467Z digest=sha256:75be784fd4d0ba90afdbf7c6e8fa94b78ec94fe16cfbc131db45d952617696cd

Observation 0a21abfd-f4fe-43b9-a9db-aeb90c68277a · outbound

This paper cites , author Sun, C.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Sun, C

Reference 12

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no resolver link, observed 2026-08-04T19:34:01.283232Z

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source=arxiv_source observed=2026-08-04T19:34:01.283232Z digest=sha256:de27c7805b62a7cf38e46252f9bdfee21a4576476a7f430f7e3c8a91482133b2

Observation 6e852bc1-dced-49a9-8348-e4dbf91f1aa5 · outbound

This paper cites , author Jia, X.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Jia, X

Reference 13

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source=arxiv_source observed=2026-08-04T19:34:01.335872Z digest=sha256:2af2476e83ffbbfe7abc562250fc9b2b34315de17c9b89c3b3873255eee6b986

Observation 0cc3e48f-097b-4eb0-8530-1c2d920c6d5e · outbound

This paper cites , author Sabatini, S.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Sabatini, S

Reference 14

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source=arxiv_source observed=2026-08-04T19:34:01.423518Z digest=sha256:ffcc0008fa5ad9da503c36807640430389cacb9fa2bc4c48316486be91a0bd3b

Observation cd67f987-c17b-47cf-9102-1b9a0d239beb · outbound

This paper cites , author Sabatini, S.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Sabatini, S

Reference 15

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source=arxiv_source observed=2026-08-04T19:34:01.599339Z digest=sha256:1fff5752493def2a767e0be6fc1ae87360b6bff446cf6da1afd1c5ef981369ff

Observation 81f9252b-8914-4614-8647-ed6dcc364c05 · outbound

This paper cites , author Schoenholz, S.S.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Schoenholz, S.S

Reference 16

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source=arxiv_source observed=2026-08-04T19:34:01.669149Z digest=sha256:dcbacd71766cbd7e60e74c52d1d1ae1f073dabbe81407d88079cf51daf11e617

Observation 4d63cec9-7875-4494-a03c-da505491ac04 · outbound

This paper cites , author Golemo, F.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Golemo, F

Reference 17

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source=arxiv_source observed=2026-08-04T19:34:01.719708Z digest=sha256:2b104ff19c4aa0d6b13dfda8e9b6704e28265d73ac3b32bc3c477e08baee6d3e

Observation 733cb0c1-d7c4-4994-ae4a-60c4255fd7b9 · outbound

This paper cites , author Sun, C.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Sun, C

Reference 18

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source=arxiv_source observed=2026-08-04T19:34:01.916955Z digest=sha256:db082c021226e3e91b3483a1901183aa8537f09f36ce23ce03631c6ad57fbbf0

Observation 8f1bcbd8-e57f-4da0-a5b8-599630963b19 · outbound

This paper cites , author Ying, Z.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Ying, Z

Reference 19

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source=arxiv_source observed=2026-08-04T19:34:01.996740Z digest=sha256:7f4d190f9e392164d8e0ac41567fce31adcd9ffe721af1c20b39bc6664c0f194

Observation 0453be68-5db9-4b89-b9be-30da5aa6e043 · outbound

This paper cites , author Sapp, B.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Sapp, B

Reference 20

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source=arxiv_source observed=2026-08-04T19:34:02.061319Z digest=sha256:509fe02c03d822051c87ac033c7803463a099083a35fd7f3fe4e25c01e34ced2

Observation 95ec6081-134c-4125-a050-730f98a985b7 · outbound

This paper cites , author Wu, P.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Wu, P

Reference 21

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source=arxiv_source observed=2026-08-04T19:34:02.189414Z digest=sha256:c0a562c35f3742f90f7cc754ba644097664b1f7df5462668e703ae3499b4d667

Observation 46dbdadc-ed78-434c-b68a-b1cd78068a9a · outbound

This paper cites , author Cornman, A.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Cornman, A

Reference 22

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source=arxiv_source observed=2026-08-04T19:34:02.239313Z digest=sha256:04ce6feb9a7201e8c1327e63613c5a4d1cf20929c65df49cf0a0cd458ab673fa

Observation 7c8406b5-f71e-402f-8dcc-144f1520a1d1 · outbound

This paper cites , author Wang, S.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Wang, S

Reference 23

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source=arxiv_source observed=2026-08-04T19:34:02.302931Z digest=sha256:f079d0493c3a7269c2e97f76ddab648af4eeb9bfc20907b98cad9b5f41d939e9

Observation 968128be-06fe-4b23-98c9-f64e1466f6e5 · outbound

This paper cites , author Ba, J.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Ba, J

Reference 24

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source=arxiv_source observed=2026-08-04T19:34:02.357919Z digest=sha256:16d864427649d5f84154718a0adce83069f6d0f75979c8cb4b3e5cd3f5f84235

Observation eec6f5be-ba8d-4cb6-b0ac-bd93cea16948 · outbound

This paper cites Multi-modal Integrated Prediction and Decision-making with Adaptive Interaction Modality Explorations.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting Multi-modal Integrated Prediction and Decision-making with Adaptive Interaction Modality Explorations

Reference 25

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source=arxiv_source observed=2026-08-04T19:34:02.430592Z digest=sha256:5b52b0d01d7669789441c65523e7375ec40a37077763890f5ac1410233416284

Observation 160de79c-8b51-4c32-ac8b-f424e2dfae95 · outbound

This paper cites , author Yang, B.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Yang, B

Reference 26

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source=arxiv_source observed=2026-08-04T19:34:02.600064Z digest=sha256:24aeb932554747fe62c889010534330edf4be3f6597c1c6a9d0cfd0286226266

Observation 75c35831-534b-4e1d-97fe-c6b2563f1516 · outbound

This paper cites , author Park, C.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Park, C

Reference 27

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source=arxiv_source observed=2026-08-04T19:34:02.712027Z digest=sha256:007d7cef34d796ff540e517048fc515ad5c183ea02edf20d7f63b5293d8a6d65

Observation 3674b12b-4e57-42ec-82d3-5bbbcb7bd150 · outbound

This paper cites , author Huang, Z.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Huang, Z

Reference 28

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source=arxiv_source observed=2026-08-04T19:34:02.856856Z digest=sha256:7a43faf1fc72dea4c35e7ab35444a9a82d86975a21b60c7a7f6ca816b49e9e14

Observation 76616868-eb33-4d79-aa75-85f227325705 · outbound

This paper cites ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction

Reference 29

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source=arxiv_source observed=2026-08-04T19:34:03.010599Z digest=sha256:4abe82bea14ea99392cf5a8038004d32eb346caf04b36e390551c5db07e00fd8

Observation b42235aa-eeec-4532-bf2c-1990c7b82500 · outbound

This paper cites , author Al-Rfou, R.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Al-Rfou, R

Reference 30

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source=arxiv_source observed=2026-08-04T19:34:03.152182Z digest=sha256:fb0a4c743681ba695e0c9f9c1a14bd78676b2eff76351d5d14205f5513303683

Observation c164c609-9896-4bec-9de2-69950fec363a · outbound

This paper cites , author Vasudevan, V.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Vasudevan, V

Reference 31

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source=arxiv_source observed=2026-08-04T19:34:03.272939Z digest=sha256:8ee06bcd90b06c6bdf9249fd445960b75ec8379176b9a608f2e648986b40bfc4

Observation 67961727-ddbd-4ac7-9403-c36569eca530 · outbound

This paper cites , et al., year 2017.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , et al., year 2017

Reference 32

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source=arxiv_source observed=2026-08-04T19:34:03.402405Z digest=sha256:285c46f57f25a775fa3b09b2cdfde5d5cab7b66e99f57d9ba508411ffe777cef

Observation 89b4ed08-d52f-41d5-b014-ce5cd44dbde7 · outbound

This paper cites , author Ethier, M.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Ethier, M

Reference 33

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source=arxiv_source observed=2026-08-04T19:34:03.515987Z digest=sha256:c45533ee8f2719992f56cc2a793ed70840e6e327d1a07769c5e4245bd52bd0c1

Observation fa002f0d-2a97-4cc4-abb5-3db7fea40e3a · outbound

This paper cites , author Cera, B.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Cera, B

Reference 34

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source=arxiv_source observed=2026-08-04T19:34:03.681965Z digest=sha256:b5aa6dd57b01aea2ea118bbe7ea37a01646d30b6ac525386fcaf8d09efb4338b

Observation 595c647e-8fad-4658-8bc1-c43c6d97c002 · outbound

This paper cites , author Jiang, L.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Jiang, L

Reference 35

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source=arxiv_source observed=2026-08-04T19:34:03.839988Z digest=sha256:7f9ca1f6e4da157ad1c252e7c4fd52111a244dad904e89dd47c47e2edbafa562

Observation 6bd25e6b-df9a-4589-ac19-da6a195e9e1d · outbound

This paper cites , author Huang, X.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Huang, X

Reference 36

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source=arxiv_source observed=2026-08-04T19:34:03.908613Z digest=sha256:86f1e5284d9ffdbe9b77b50f8362e284bf03a2d628fc79c3fb919bd4a3c9d538

Observation 968157de-d4ee-4e40-8e02-141dee558cb9 · outbound

This paper cites , author Regalado, S.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Regalado, S

Reference 37

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source=arxiv_source observed=2026-08-04T19:34:04.014046Z digest=sha256:d9cd6837b90e50e0e36e32e921a3a4ed2d9e226c6e07fa6170dc0bf8465a9475

Observation b74674db-c1f5-4892-b76c-560c7781f012 · outbound

This paper cites , author Sun, W.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Sun, W

Reference 38

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source=arxiv_source observed=2026-08-04T19:34:04.088295Z digest=sha256:11b2ecf04713082afbecf744497a6cf144afb4af996141cbab6b419fc3a2fb48

Observation f2126b3f-c17b-453b-bed1-3574957e054f · outbound

This paper cites , author Hefny, A.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Hefny, A

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:04.215871Z digest=sha256:2871f9f50e0dd83bde4ff0a4e1f4652631af6788190b787f27522c0b93c5adbb

Observation dda88e28-78df-4c61-9aef-0fba0757d2a1 · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 40

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no resolver link, observed 2026-08-04T19:34:04.361016Z

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source=arxiv_source observed=2026-08-04T19:34:04.361016Z digest=sha256:1e58b22f70213a69b4fa169ed18d4d169b6f28395975ea75c5a6cf01c59c0723

Observation 04a51868-1a9e-4733-a91a-d06883744357 · outbound

This paper cites , author Chu, D.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Chu, D

Reference 41

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no resolver link, observed 2026-08-04T19:34:04.536063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:04.536063Z digest=sha256:36bbc4934a0d582fe1f0259d8613264e942cc426e251ed83a65afb3dc712f7be

Observation 03de79af-6ffc-4736-95f9-22e3c32fda3f · outbound

This paper cites , author Cao, T.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Cao, T

Reference 42

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no resolver link, observed 2026-08-04T19:34:04.652121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:04.652121Z digest=sha256:eae4f49cb4d02a3486cba50b700085a7e097e3911367b41bd04b91eec55c7672

Observation ef657d08-ba75-4bbd-a254-21e220c85845 · outbound

This paper cites Bootstrap Motion Forecasting With Self-Consistent Constraints.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting Bootstrap Motion Forecasting With Self-Consistent Constraints

Reference 43

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no resolver link, observed 2026-08-04T19:34:04.801632Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T19:34:04.801632Z digest=sha256:69c7114ba9ae40dbe97da5929228bcf35871d1a477033d9d1d640d6ff9f8e2e9

Observation b98cf5d6-b352-42c2-aa2e-6b202d0a6f96 · outbound

This paper cites , author Liang, M.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Liang, M

Reference 44

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no resolver link, observed 2026-08-04T19:34:04.922460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:04.922460Z digest=sha256:7aff42081556e89792c2b68ba4e3abcc0ac00b7d38eb6fdb3d777cf9401cd0c1

Observation ea625639-b3ba-4723-b35d-d5fb3d170ae4 · outbound

This paper cites INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 45

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no resolver link, observed 2026-08-04T19:34:05.052493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:05.052493Z digest=sha256:3bc45d88d175a22036bea42f85a9dfea3fd08ce52f8e8bebca676d690eb0f285

Observation c586b6d0-0231-4d9a-996e-0a5cd85bbf85 · outbound

This paper cites , author Fu, M.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Fu, M

Reference 46

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no resolver link, observed 2026-08-04T19:34:05.113305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:05.113305Z digest=sha256:463f9f25371359d8ec67a4ca4a7ea2d2d56cf27cd02c1535cf5fb797091ff578

Observation 5dfc8a8e-daf3-4ddc-ae07-c27de9fe97cf · outbound

This paper cites , author Liniger, A.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Liniger, A

Reference 47

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no resolver link, observed 2026-08-04T19:34:05.165641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:05.165641Z digest=sha256:f453da7161305fb95562b1d29c76746c4fc2f5a1ce85efc49bda8c40af49bc12

Observation b48023bc-68f7-47ea-bdd9-ddd0aa706263 · outbound

This paper cites , author Wang, J.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Wang, J

Reference 48

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no resolver link, observed 2026-08-04T19:34:05.212205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:05.212205Z digest=sha256:51ba596c5f36f556c1d206305db324a80862d8826267dea10f09531c42a1f112

Observation 91ddba51-5fa9-4e11-8e6c-165c5954f751 · outbound

This paper cites , author Ye, L.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Ye, L

Reference 49

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no resolver link, observed 2026-08-04T19:34:05.275292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:05.275292Z digest=sha256:313575c4ea83d9b2e3e025797fd6a65af38d871db4cc67970ecbef788cdb8f2b

Pith citing papers

No inbound Pith citation observations are available.