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Paper Citation Record · LEDGER

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.03200.

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

pith.paper-citation-record.v1
2607.03200 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T04:11:50.269344Z

measured 42 of 42 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

42 of 42 outbound references displayed

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  • verified fuzzy0
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a2746f9-976b-40a1-9ce9-6b995c662005 · outbound

This paper cites 1989 , publisher=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction 1989 , publisher=

Reference 1

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:bf54ba18a32d90be140a48b1bb66e7d54626b42b5e0875eb9fc49676d4b3dbb4

Observation 5f09a97c-9457-4182-bb13-d0e0fb4a2841 · outbound

This paper cites International Journal of Digital Earth , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction International Journal of Digital Earth , volume=

Reference 2

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:7cde916594ced4dc4b3ac45bfb4e908ed960334581f6e31fc8ec78e592f33fe6

Observation f3f9181b-ec04-4d07-b97e-b8e1ced20e6a · outbound

This paper cites Physics Reports , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Physics Reports , volume=

Reference 3

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:8107bf32950490ee87f765e7d10ce0468df5c862cda3428c4220532d9ce1218c

Observation 79aab410-01ad-4a70-855a-fb67ecd85c1a · outbound

This paper cites ACM Transactions on Intelligent Systems and Technology (TIST) , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction ACM Transactions on Intelligent Systems and Technology (TIST) , volume=

Reference 4

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:f5db66d0c36a4ad4df3cd59e27f8e4c4a8a9b76f8fa34eb8e321189f8a7a3338

Observation 9f88f58f-9ddf-4609-a765-bec52fc6e9b5 · outbound

This paper cites ACM Computing Surveys , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction ACM Computing Surveys , volume=

Reference 5

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:e67abb88da468ac32d54ffb055d269941ef970e740253eddb0aa649ae57d7b86

Observation 2ed85ade-a389-46d7-a6a0-ff4f81bb3c00 · outbound

This paper cites Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining , pages=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining , pages=

Reference 6

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:2d7c6bceb71da6ba70b14484767b5f6b08bd0798d8759e74e0d5e8ebc43545a7

Observation 80d14c9f-7ed4-4c1a-acb8-41abd55aedf0 · outbound

This paper cites 2020 IEEE 36th International conference on data engineering (ICDE) , pages=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction 2020 IEEE 36th International conference on data engineering (ICDE) , pages=

Reference 7

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:9fea2fb9c6b5c64c2ddfcfb1c7e3a2c1b6a1173a948d3655587be0ae0dd2f6a4

Observation 27c56531-9d40-4a99-8868-850d6cb0b695 · outbound

This paper cites Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining , pages=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining , pages=

Reference 8

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:a38cafce20aebc7efecc2d227800d4ce1d8eb86e8220e615c16a5ac2d1932688

Observation 07ad9ab6-a986-4b0e-a8ac-325f6265bdaf · outbound

This paper cites Nature Machine Intelligence , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Nature Machine Intelligence , volume=

Reference 9

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:24dca8261fb4e54f5d67d20524ae74ac98d5ceac9a550f6b606919dc9973eb88

Observation 27fa0228-b1c1-4bc7-afe1-b55507e1f3f7 · outbound

This paper cites Invariant Risk Minimization.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Invariant Risk Minimization

Reference 10

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:4c13f5dafd3e2ad2b0e36e808b92e4e5343fcb2e7d8ccca40afd04001b3e3a21

Observation 8481b94d-160b-4652-a503-524aaa0e0a3f · outbound

This paper cites American sociological review , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction American sociological review , volume=

Reference 11

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:6a19dd00228a790ad86cf8db60c2236ebbad02ee5672124ed36f1d9cfed6ee65

Observation 4fe36be8-69e6-48cb-954f-7a30ce75dd6c · outbound

This paper cites Regional studies , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Regional studies , volume=

Reference 12

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:ada5d3921df3298a0a6eb27eb22e610cba445400839f65c5c51ec78def431947

Observation 53d78856-72a3-4ac2-b1e3-1cf237fedd6d · outbound

This paper cites Environment and Planning A: Economy and Space , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Environment and Planning A: Economy and Space , volume=

Reference 13

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:b8893626ac31719ec92160218ddc2cae97511f58bca319eca8bec50a176b6276

Observation 8cac58a3-bd6a-4db2-90a0-88ad3d168757 · outbound

This paper cites Nature , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Nature , volume=

Reference 14

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:a7270755cd7a9953d7d008f9db17ed9e8cad8a2ce89c91916bc0b927b31a5b33

Observation b38155f7-5e9f-49c0-b739-657b4b9125b3 · outbound

This paper cites Nature communications , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Nature communications , volume=

Reference 15

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:a7695bdb8ca194d2297f956ece7c18d7aeccad118ff5f0cfe1bcd516f7f84bca

Observation 79654f89-ac1b-4dd1-95e3-f64586685a5e · outbound

This paper cites Journal of Transport Geography , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Journal of Transport Geography , volume=

Reference 16

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:9fcf7d71e3d12ad2b55fb45efe344fa6bf22510164b01de36da6fa5c44e50a93

Observation 3eb120e1-3222-4cdb-9795-bd9ec3d01560 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction The Thirteenth International Conference on Learning Representations , year=

Reference 17

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:2683267d805a9e46bd06b82c6a659f52e50b02c2d97bbc1e35a5a528c00de420

Observation fb94e70f-ac9d-4cd9-be10-6a6bda2a6e95 · outbound

This paper cites International conference on machine learning , pages=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction International conference on machine learning , pages=

Reference 18

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:fc58cec25618fbf9b88511b75d6a8dad192a13b8253edf889aef7f06ecc92d06

Observation e5d8915f-7331-4d7f-9837-4e639f99cbed · outbound

This paper cites In Search of Lost Domain Generalization.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction In Search of Lost Domain Generalization

Reference 19

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:0e91f850bb1ee7f25e4ccccb0255020a44d02b9c08c49141698408f0caf2d0e1

Observation 39f889fb-f61c-4fff-ae02-2d89d590748c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Advances in Neural Information Processing Systems , volume=

Reference 20

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:207d527d7f3c9e99fdd48a563eb396804799a766ed201a4a5e1d1836e371394c

Observation eb56d278-59e4-4bac-bf20-41dbe9cc4c82 · outbound

This paper cites Discovering Invariant Rationales for Graph Neural Networks.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Discovering Invariant Rationales for Graph Neural Networks

Reference 21

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:9973350a23defa98c0842f49da457aef21d4ac12de9717bc50e7e18955f36df6

Observation fc158087-915c-41fd-898f-ccb6914914ba · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction IEEE Transactions on Pattern Analysis and Machine Intelligence , year=

Reference 22

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:dbe1f5a160a2fe7f3a293b20b40a79a02867fde54309ca521c1f1d4be26604fc

Observation e519888c-4ee3-4dc3-9347-507b3116e6e6 · outbound

This paper cites 1959 , publisher=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction 1959 , publisher=

Reference 23

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:06571a944e06753aa7fec1c23ee1f0eeae0c7ea9d8dd0843d32f2df99f2d9ca2

Observation cc837ee7-4af8-49c1-9517-59e7d7e14576 · outbound

This paper cites an unresolved cited work.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:2fff66d5b2e37c2b8e3e3bd30fc028a5e9d3f00d7dfddb5f8ddf04cfe54c6f20

Observation b7dbca50-befb-44f8-abda-04479cf4d7f9 · outbound

This paper cites Journal of the American Institute of planners , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Journal of the American Institute of planners , volume=

Reference 25

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:ed95ff65e1aa567e306a57d9b3bb6ad4820d027ea3da8edc62859eb7276b0156

Observation 7585e009-6a29-4d27-9085-26105270400e · outbound

This paper cites Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems , pages=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems , pages=

Reference 26

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:46c9181a3568c1563f83bba9e5ad98c8db304a49700dd3c14c63230cff4eefa0

Observation c1923a5d-33ae-43a2-affa-0c7156e400b8 · outbound

This paper cites Origin-Destination Network Generation via Gravity-Guided GAN.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Origin-Destination Network Generation via Gravity-Guided GAN

Reference 27

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:9cac13a4b94b8bb897b539dbf8e511f4b8a8a6fa3edcfec77d3056449fc56183

Observation cd14a0f3-fbad-44d6-a7d8-f4aba9b6ae35 · outbound

This paper cites Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model

Reference 28

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:783c9ce5365158e8ffeadc0ef3bb181ed9527fd4005024f0a3f282859bd76a83

Observation 5d572077-cfce-41d3-80be-f4df8f58b625 · outbound

This paper cites Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence , pages=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence , pages=

Reference 29

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:4c9f8ee8c8a61b942cd7168490fc98452359773d3a2c440663179dadb02ae035

Observation 89f3b921-0cec-4f19-99b6-bb924dd34d72 · outbound

This paper cites Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=

Reference 30

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:bca34298274ed32bd4ab3018bbf7a24a5420a3243bc5dece6945063ed0450613

Observation fefaaa25-4ccd-47bb-b4dc-a715e12c3c4f · outbound

This paper cites Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence , pages=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence , pages=

Reference 31

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:3fe644732bfc77e363b2be95de25be95021f57ed05ce516317d11f53e435366f

Observation 5ef1ce8e-13de-42fa-8c95-f2385da64348 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 32

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:2a4fb2bfce8b47a0814d10fd9e32d34a46165472a23229bc9374d846bdeb52dd

Observation 150187da-d5dc-445a-bd49-b57b77a7a755 · outbound

This paper cites Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario

Reference 33

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:d92d7fef673393e165851609e760f36149889732de7ed56ef62c7fea90fc24c7

Observation d45aa0ab-537c-496d-8f92-134c8c56ca59 · outbound

This paper cites GeoComputational Modelling: Techniques and Applications , editor =.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction GeoComputational Modelling: Techniques and Applications , editor =

Reference 34

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:1fcc894b70af4f405dcaded651af70548a83f9128286c1f64fd78b434a596d71

Observation 95d36799-a607-49b6-83e6-5a7801a8fedc · outbound

This paper cites Geographical Analysis , volume =.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Geographical Analysis , volume =

Reference 35

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:6fb927f470f4d3ff59db1cc0623473a96b2aed5bf52ede97d1912a70228f14b1

Observation d98f3d8a-48b2-41d4-b1e8-7402d4de537f · outbound

This paper cites Proceedings of the 36th IEEE International Conference on Data Engineering , pages =.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Proceedings of the 36th IEEE International Conference on Data Engineering , pages =

Reference 36

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:67a90e4eaab1a36b183216a44eb7d5213ca8917b5b8c108d028beac05c4dc3a6

Observation 13d098a5-ccff-44ae-a1a2-4ccc45fe7520 · outbound

This paper cites Neural Computing and Applications , volume =.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Neural Computing and Applications , volume =

Reference 37

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:63900aa4224b140f533f6faa5e4a086820ff5c9edf38675997f5765450034c25

Observation f5ed554c-48ba-4d27-a366-2bbcf2bcd674 · outbound

This paper cites Expert Systems with Applications , volume =.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Expert Systems with Applications , volume =

Reference 38

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:b6ee581e58b710537f4d131418132c805e88d376ff18728f73a7b597d03c8d5f

Observation 131e2e96-c963-404e-af24-5084d5e7f14a · outbound

This paper cites 1985 , publisher=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction 1985 , publisher=

Reference 39

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no resolver link, observed 2026-07-12T04:11:50.269344Z

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:0ff0b0d663bbbe450d465d312123d5f8d6071e2bf1d603a4dc3000b12d5ea9cf

Observation 7b76dd52-47e0-4263-bf68-6bfe86068a4a · outbound

This paper cites 2012 , publisher=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction 2012 , publisher=

Reference 40

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:4d5c65e950fc8a2d2f3ab44448a89a4e83cc71a3a7d9003585925535d8c31fbd

Observation 66d9829d-080a-42eb-ae6f-b37f88508829 · outbound

This paper cites Journal of Transport geography , volume=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Journal of Transport geography , volume=

Reference 41

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no resolver link, observed 2026-07-12T04:11:50.269344Z

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:bebf0a214ad5e1b18e7aa20494cf18d92cb0d1e6685727f1905483b3ca2ec19b

Observation 89de91b7-25b7-42bd-8b1d-bc48d785b131 · outbound

This paper cites International conference on machine learning , pages=.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction International conference on machine learning , pages=

Reference 42

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no resolver link, observed 2026-07-12T04:11:50.269344Z

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source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:4501828046b7b027089d71a7df5236cd49128b3a396839b73f7afb745191ba3b

Pith citing papers

No inbound Pith citation observations are available.