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Paper Citation Record · LEDGER

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching

As of 19 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 4 inbound Pith citation observations for arXiv:2505.00562.

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

pith.paper-citation-record.v1
2505.00562 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:44:57.944557Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T15:14:25.558878Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T15:14:26.156169Z

Reference resolution

68 of 68 outbound references displayed

  • verified exact3
  • verified fuzzy32
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 314e4483-cfd6-4cb1-b62d-3d9b486399f5 · outbound

This paper cites write newline.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.613502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.613502Z digest=sha256:0a6acc82013f3e7c58329f8234d968769d057db37d019a43891607a509ee0ab2

Observation 62931e90-01d9-43fa-bf19-80cd6ab95e45 · outbound

This paper cites T., Baierl, M., Koert, D., and Peters, J.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching T., Baierl, M., Koert, D., and Peters, J

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.947954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.619498Z digest=sha256:bc0c5c84050f9e8585f6c71557a46749a4b04d8723523dffee5b6191faa37ded

Observation 849d5af1-3fed-4e35-ac60-64618391e64c · outbound

This paper cites IL-flOw: Imitation Learning from Observation using Normalizing Flows.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching IL-flOw: Imitation Learning from Observation using Normalizing Flows

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.624301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.624301Z digest=sha256:b4608c0ec38ec3f1fef6b3296f8b95b37e4cbaa56125306ccc51d9965fba6cff

Observation f8bbec91-0d25-4ad8-9311-779725599f1e · outbound

This paper cites Simple Hierarchical Planning with Diffusion.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Simple Hierarchical Planning with Diffusion

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.629420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.629420Z digest=sha256:2f50ef7d76a76297e1a0e59630a7bf4f1598989da546ad9583a9403eb1546f76

Observation e3230f35-10d0-421a-8d60-a5f4a1f41942 · outbound

This paper cites Boosting Continuous Control with Consistency Policy.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Boosting Continuous Control with Consistency Policy

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.634641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.634641Z digest=sha256:0bd8c1500bec45f0e990875e7f0d8e48da4642b07f00ac2c454a351221c729af

Observation d4fe7f49-6288-4af1-a135-174d08613d00 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Diffusion policy: Visuomotor policy learning via action diffusion

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.639616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.639616Z digest=sha256:980f71a6bae44f33ad90fdde720558a5f385dc1570b5b74a27bc2c9342b1f403

Observation 5cfaf357-c894-4d0c-b5f3-60be1e81630c · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.644049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.644049Z digest=sha256:9e5279f85628e8569d1c904b1a574b06cc16c404687bc02ba4a86423d5f0afbc

Observation 9b41a8d8-62b6-4967-b562-57244e924ac7 · outbound

This paper cites an unresolved cited work.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:44:58.924679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.649368Z digest=sha256:6a7f2e322ba34407b9cc05f9f77d575817965fbeb355e9ba4c4b305645a1e995

Observation 834245fd-2c0b-47e8-af7f-ceb699302884 · outbound

This paper cites and Bai, Y.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching and Bai, Y

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.909264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.653502Z digest=sha256:34c59c10abb1c59d5f6e232db73c5a9f594a52c4201fdd70fc64e0f97ed14118

Observation 7e6032f1-baa2-415e-82f5-8a7574f7e9c4 · outbound

This paper cites and Fan, C.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching and Fan, C

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.893850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.657682Z digest=sha256:a1ecb5ad41bcd5f66f58dea8d31b7f29cd2db091a7d17862a41b7980858fd97d

Observation b1eb1201-a733-43ef-89e6-4e59ebf422c1 · outbound

This paper cites J., Lee, S.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching J., Lee, S

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.879278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.661975Z digest=sha256:8e2ee3cde331dc2c2c1ad9fab2d5414936472967907542c79b39c6e51a223060

Observation f5428cbc-6bb9-409f-80bf-eaa08ee95078 · outbound

This paper cites and Maler, O.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching and Maler, O

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.864994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.666178Z digest=sha256:ff3ddff333fb18081f7243fc5bc6a0d8345b38399cda9c7c54922dc7446ac952

Observation 2c46fb87-df47-4cdd-abb7-ec65efd7434b · outbound

This paper cites Efficient robust monitoring for stl.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Efficient robust monitoring for stl

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.851257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.670565Z digest=sha256:94a77a4ddc6009e9fb39840c00844052b2a0d81ce5018923119915788a63f4e0

Observation ff75b190-fbb8-4c32-8d22-3d630d4a3a84 · outbound

This paper cites Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:44:58.316612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.674890Z digest=sha256:f2c754bf2750735f9d022ba405faba235120a9a5d2d192d9e4dd73897b2d1cd5

Observation 2858afcc-b265-45d0-a256-9154ba596cc6 · outbound

This paper cites E., Girard, A., Kress-Gazit, H., and Pappas, G.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching E., Girard, A., Kress-Gazit, H., and Pappas, G

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.836717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.679537Z digest=sha256:2fc992822e16bffa8c119a482607a900da7eade83d7921dc01dcaea379dd857a

Observation 80abb759-0df9-4a10-b481-3424052100e6 · outbound

This paper cites R., Eppner, C., Lozano-P \'e rez, T., Kaelbling, L.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching R., Eppner, C., Lozano-P \'e rez, T., Kaelbling, L

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.821131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.684267Z digest=sha256:d2e12af373e1090196f888fd2b72e66e77b7cca1b5cd041c40789bb800a714ec

Observation 75e7705b-447d-43f2-ba54-b378a7d24180 · outbound

This paper cites LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:44:58.295722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.688349Z digest=sha256:53e118fdb9a73eaec48ec4e371c6cf12e6f138c0c08a26ca274ae59a317f263c

Observation 838ad5ae-662d-402e-83a3-2da4c282f830 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Fast Graph Representation Learning with PyTorch Geometric

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.693113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.693113Z digest=sha256:e332a33ff7b8f07dbfdede8dec3c3d5e0162eda662507ab174c3f01cce03e55b

Observation cd45cf9e-0fb2-440a-8dc8-6eccbdf3b0dd · outbound

This paper cites Ltlmop: Experimenting with language, temporal logic and robot control.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Ltlmop: Experimenting with language, temporal logic and robot control

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.806871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.697698Z digest=sha256:94ab229f0baebcaeff0f511e3a45a68a03e6043a1da30f4db88a3e679ef08748

Observation 61191f96-5d9b-455f-a446-609401fd044a · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.702445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.702445Z digest=sha256:5c397b27e27b9382f3769a9ac85ebd537a1b822cfef94c6e419b56a9e3ec8046

Observation fee7020c-feb5-4425-af54-94a471180e30 · outbound

This paper cites R., and De Luca, A.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching R., and De Luca, A

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.792329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.706979Z digest=sha256:9eabe5b78d4328822bf8869dda5b08c174635d851ead86fba2c49006ad2f1cb4

Observation 2a2bdd03-edf2-45bb-b789-ed94e617e14a · outbound

This paper cites Temporal logic specification-conditioned decision transformer for offline safe reinforcement learning.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Temporal logic specification-conditioned decision transformer for offline safe reinforcement learning

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.777974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.711121Z digest=sha256:69d77511b92e2a07a194906d16460a96caca7731e30bf87b26bb2f339e7d1c6a

Observation a4bbd905-895c-4cc0-a9e2-63fc1201c7d1 · outbound

This paper cites Neural Controller Synthesis for Signal Temporal Logic Specifications Using Encoder-Decoder Structured Networks.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Neural Controller Synthesis for Signal Temporal Logic Specifications Using Encoder-Decoder Structured Networks

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:44:58.244922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.715274Z digest=sha256:0725e58ca71f921f7885c437b81b056f058921e2cfb6a886cf974c2005e1a916

Observation cb123ee8-af73-43d6-9022-df2fd6a41ed1 · outbound

This paper cites Deepstl: from english requirements to signal temporal logic.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Deepstl: from english requirements to signal temporal logic

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.763297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.719860Z digest=sha256:10493b331130788d2fb65649ef1e06e7f3035a987892d41b36695215e3b0483e

Observation 4e329267-85da-4902-81e3-a1a174bd0779 · outbound

This paper cites Denoising diffusion probabilistic models.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Denoising diffusion probabilistic models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.723764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.723764Z digest=sha256:32856a48a1167be64318e00785b76ad2dc8d9a54dd891ce13bfb36acff2c36eb

Observation e15e671d-fa49-4e6f-9c82-9ffdc8707253 · outbound

This paper cites DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.727839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.727839Z digest=sha256:8c544d4eabbce9463ac19a89e9cbdb1d89fea3d33d1475612b001f46479b09cd

Observation 5a2a325d-620c-4efa-9274-ec65c1243870 · outbound

This paper cites DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.732413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.732413Z digest=sha256:6118d1aeb1d9d045aaaebb30cacd352860419c9b8cd61cfa69c809391447e783

Observation f97519dc-e4c4-4b40-95bc-37daa5b7a2f3 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Planning with Diffusion for Flexible Behavior Synthesis

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.736924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.736924Z digest=sha256:d160d0074f16758d654dc94396ee00f739a2eb138dbb519092e67dd6491a5e94

Observation 94bc0a1d-5415-435d-97ea-ee03daeea7f5 · outbound

This paper cites Model-based Reinforcement Learning from Signal Temporal Logic Specifications.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Model-based Reinforcement Learning from Signal Temporal Logic Specifications

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.741276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.741276Z digest=sha256:2b7f604b25c8c88441077f730290933ca6764e5f80bbd7b9b3d5039dd081a1b9

Observation c7d97d27-1eea-48dc-8739-6b0ddcbaff8a · outbound

This paper cites 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.745699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.745699Z digest=sha256:0d46ed498dde3aba71402b91f5ce1f5ce871d98296dee7b961c9ae89ea4c38a1

Observation 3a3abde9-6268-4f0b-8c49-1bbcbd2fd830 · outbound

This paper cites Power and limits of the Weisfeiler-Leman algorithm.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Power and limits of the Weisfeiler-Leman algorithm

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.739279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.749951Z digest=sha256:b1f89e003a1381d9a3ecc0ead128f87a7cb82b7d601aecc390030f40f7b37e2e

Observation a9c3e25e-ebdd-47d0-a0de-5096e75b7b3d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Adam: A Method for Stochastic Optimization

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.754379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.754379Z digest=sha256:3f8d36d82a47ee75ffca61d616070f62cd95e1f9c101636b61b520d01fa521cb

Observation 35eadbd4-b47f-43f2-b88f-92831ff41fb8 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Semi-Supervised Classification with Graph Convolutional Networks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.758755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.758755Z digest=sha256:8126dc830c6ae5253684c05f82849e15b9dc22d282034144bc8f0c0a284064b9

Observation 2af83a96-bb3b-4148-b6f1-08485c0bf58b · outbound

This paper cites Specifying real-time properties with metric temporal logic.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Specifying real-time properties with metric temporal logic

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.724817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.763099Z digest=sha256:774b3b016d7505715593380821903582b2bb4799337877a88cc7bf516b535952

Observation ca1966bd-9ee3-4b1d-8005-fc6613f8b443 · outbound

This paper cites and Lin, H.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching and Lin, H

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.710785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.767306Z digest=sha256:3b5f65fea0e0921efdb3bc4afb68316764f3feb886f80b8faa45fca4a33a8c7d

Observation feb14091-28ac-466b-9850-ad8a247a9b13 · outbound

This paper cites and Pavone, M.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching and Pavone, M

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.695987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.771330Z digest=sha256:b22afd60d6d8a71b6be66302868826f1514de757d9797869dfc9fce0572c8c46

Observation 01ec6c80-7a4e-4595-a7d8-891ab68a4c33 · outbound

This paper cites Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods

Reference 37

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raw_fallback, observed 2026-08-16T04:44:58.680527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.775614Z digest=sha256:90b6294581dea8256b02c5df95a1fbba0cb4417b00d32fda517b80821d5d5f21

Observation dd8052f0-21dc-41bc-8da7-4c7d93c6db4d · outbound

This paper cites Hierarchical diffusion for offline decision making.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Hierarchical diffusion for offline decision making

Reference 38

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no resolver link, observed 2026-08-16T04:44:57.779851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.779851Z digest=sha256:637bcfc94cd518ad070415851206915d14c87a223f9809653bc41d2139e81507

Observation 7ea89671-6655-4a6d-9b20-90fd4e523f96 · outbound

This paper cites Reinforcement learning with temporal logic rewards.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Reinforcement learning with temporal logic rewards

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.656342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.784227Z digest=sha256:53f718b9d603058c2382bf999c13594713657089b663d03d0b61e1357c01f160

Observation 9758e1aa-440e-481b-a901-27a657aeb7d3 · outbound

This paper cites Recurrent neural network controllers for signal temporal logic specifications subject to safety constraints.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Recurrent neural network controllers for signal temporal logic specifications subject to safety constraints

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.641685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.788753Z digest=sha256:08479a7a36165ee2e1f0061d24218b67e28ac4c83a283c1c69781adde8546795

Observation ba439b57-ca16-4c1e-8abd-e53ec67b22f7 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 41

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no resolver link, observed 2026-08-16T04:44:57.793081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.793081Z digest=sha256:638c47f765a413ecff7500a33badb1489b0622e87a15d9f9b5a26178142f833d

Observation 6cc19e43-76e7-4628-ba51-5f6ec0e5159f · outbound

This paper cites Formalization of intersection traffic rules in temporal logic.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Formalization of intersection traffic rules in temporal logic

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.625790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.797998Z digest=sha256:d575c39fd99c45bd54a4c596e536faaea77b04488afa779793189c3db2a7c88b

Observation bc9be4a3-2a07-4c72-922c-8957a51c934c · outbound

This paper cites and Nickovic, D.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching and Nickovic, D

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.611030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.802423Z digest=sha256:c2f68b2722ec007b312ddcd2555d70a4fea5afa7b1bc041811d9e0457c320138

Observation 09961c56-750d-455d-adb6-6ebf96e339cc · outbound

This paper cites and Fan, C.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching and Fan, C

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.597070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.806822Z digest=sha256:c085a9c3e6f936afd2018d8cc2c7dc3642e7e049127ba0ffb69c5eae676e3b32

Observation 62e3759f-deb8-4291-87ed-253780b950cc · outbound

This paper cites and Fan, C.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching and Fan, C

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.583062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.811236Z digest=sha256:e8f5e17ddc9c014fc5b33f33297fbfd56f84f2ac6f055f36ac9e21add5d68e6f

Observation 496196a5-6eff-45cf-9cb0-b63204b3af22 · outbound

This paper cites A., Xue, S., Chen, Y., and Xu, D.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching A., Xue, S., Chen, Y., and Xu, D

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.568410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.815888Z digest=sha256:06027fa767f0c684140793f5e4a72623d85c0fdfb9733feeafa5b9d4988aa75e

Observation 0f8d9259-be7e-4077-872f-2b65acaf49eb · outbound

This paper cites and Hinton, G.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching and Hinton, G

Reference 47

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no resolver link, observed 2026-08-16T04:44:57.821184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.821184Z digest=sha256:d6baaa491e2b0ffc2c67444288e0e3e80204eea222abf973a4461bd7715c2256

Observation 8304edc4-8cdd-46c2-85e0-8b42674a8284 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Pytorch: An imperative style, high-performance deep learning library

Reference 48

Resolution
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no resolver link, observed 2026-08-16T04:44:57.826495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.826495Z digest=sha256:18ddd55c19f331f4c842a2cef34ec5643143ab2fa8cb96c0c0037980a2994670

Observation 0fefa33d-3e2d-4d84-bfbc-9c02a0b4d07a · outbound

This paper cites The temporal logic of programs.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching The temporal logic of programs

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.533882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.830855Z digest=sha256:f1162f2f32acc2affef3b69fc109d7c529a8aee4cd1a60d6af6caf48f7f7ca5e

Observation c4a80ba9-1336-4c2c-b8b9-f02680231916 · outbound

This paper cites Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.835253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.835253Z digest=sha256:5c3403fc97b4f817d3a4eb839821a9481d5a479fa2319254f9a31f699a74a56d

Observation f8f801d3-cd19-4cc2-a651-aabee62c3818 · outbound

This paper cites Learning from demonstrations using signal temporal logic.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Learning from demonstrations using signal temporal logic

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.519749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.848662Z digest=sha256:37c3c15c156b8d0218e608975a17713663eb7f6faf5716281b1711c534dbc2d0

Observation 19e31b26-76f3-4296-8441-7437d8852f02 · outbound

This paper cites M., and Seshia, S.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching M., and Seshia, S

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.505375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.854060Z digest=sha256:e85b865c4d46d724c1e441fc0dbd4c369ba50f52f92fe3a6d1d8e80926636ea0

Observation 4b935cbb-4caa-4a9c-9404-07c4c2fc5909 · outbound

This paper cites and Belta, C.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching and Belta, C

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.490524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.859663Z digest=sha256:77b69e1e207842d5a1fa57ed4f8d972073fc79c851f04dc2964b3e92258d9e44

Observation 88caa538-ff07-427c-a3a1-66f321f656b4 · outbound

This paper cites Multi-agent motion planning from signal temporal logic specifications.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Multi-agent motion planning from signal temporal logic specifications

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.476380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.864966Z digest=sha256:04ddadfa66bc181d8601426f73883d4f81f8f1ac041fb6e5eed4b5962cb9b940

Observation 014d0708-db7b-4d9e-be49-70f5b906a169 · outbound

This paper cites Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.870240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.870240Z digest=sha256:0a63265f5cb7d828b0022a2f72e652e466d081e170c4994207ef1f80899fde46

Observation 0094f4a2-8601-46a3-a2ae-62dafca782ad · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Octo: An Open-Source Generalist Robot Policy

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.877096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.877096Z digest=sha256:1f29a3b1f8301c0448517da13057756488a138f0292954cb51fc407c2d402819

Observation 033efc7c-8dd8-41c9-869a-ade09cd6e91c · outbound

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

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Mujoco: A physics engine for model-based control

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.882781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.882781Z digest=sha256:c7bbb6b373b7f8a19cf56fcfa40ecc6ce015bcf2c908d1e9e54385ba1712c741

Observation 776a2cf5-f7f8-4507-87e7-9e44c674b239 · outbound

This paper cites Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.888082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.888082Z digest=sha256:9b2b8ee6005a1117fd6128f8157aa7d0b4b63362c714e8f2f0bfd4e28ede74f3

Observation 82e9af1d-e66e-4d7f-8425-331e69c87a00 · outbound

This paper cites Sampling-based synthesis of maximally-satisfying controllers for temporal logic specifications.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Sampling-based synthesis of maximally-satisfying controllers for temporal logic specifications

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.452218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.893896Z digest=sha256:eda6fd037238e87bf8728e56fbaff2fb9b848c86dd43c14c64d4529a18e9f478

Observation e3ab3248-a4dd-4af6-9def-c07c077998cb · outbound

This paper cites Attention is all you need.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Attention is all you need

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.900524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.900524Z digest=sha256:c2789776e91c029dc8d67d175098b304a9cf5ad3196e6bb6b5b9c29a32c006f9

Observation 82cc8ad0-dac3-4e72-a6dc-52612eba3f70 · outbound

This paper cites an unresolved cited work.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:44:58.428066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.905950Z digest=sha256:14f11226e805be95161cb55024fd6627e4e063beac5bc75de5659076805c6940

Observation 787bc691-feb6-46aa-ae23-80ab312f64f7 · outbound

This paper cites Chaineddiffuser: Unifying trajectory diffusion and keypose prediction for robotic manipulation.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Chaineddiffuser: Unifying trajectory diffusion and keypose prediction for robotic manipulation

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.911106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.911106Z digest=sha256:c29ac4d4f7bdc07cb22f6286b437d8114640ca9ad923da4455da5830d800c49d

Observation 46b00725-90cc-47c4-88f0-d03ec176b8d9 · outbound

This paper cites How Powerful are Graph Neural Networks?.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching How Powerful are Graph Neural Networks?

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.916114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.916114Z digest=sha256:2bd36b27e30b172c6e00a68b5a9cba57b400be51f865462eba49894ff329efa1

Observation 267bd824-b2c3-4b40-ad26-9cc345017d73 · outbound

This paper cites Compositional Diffusion-Based Continuous Constraint Solvers.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Compositional Diffusion-Based Continuous Constraint Solvers

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.921526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.921526Z digest=sha256:b2835949fd10fe9a8a5db9483ef64d3669f4b9889749525562803ee0b2cac317

Observation e57e1017-ded3-4cce-983e-2af000250d9a · outbound

This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.927693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.927693Z digest=sha256:d521d40df89f0f570469a9684d5c51d498030b28047f83bea8811b41c78771ff

Observation d75b1ae4-3f76-4de3-9afb-9c6a2d79eac2 · outbound

This paper cites FlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot Manipulation.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching FlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot Manipulation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.933731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.933731Z digest=sha256:4ca2535b4a6aac70874f454bf65fff2a2b1dc88909bc3825848d87bf619dcb88

Observation 3998a4be-c59d-4c4d-8388-f99b38ed3759 · outbound

This paper cites PyTorch Kinematics , February 2024.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching PyTorch Kinematics , February 2024

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.404432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.939315Z digest=sha256:d3070562ca5ead1c07ddab0646fb3af49ef4082979af24e474ea9958b77eb3fe

Observation 9d5147d9-c3b7-43b2-9a57-95017412e398 · outbound

This paper cites Guided conditional diffusion for controllable traffic simulation.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Guided conditional diffusion for controllable traffic simulation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:44:58.389839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.944557Z digest=sha256:783c5da25956648e4a3f50db76e93d8847632821a1c195251a7870aa6eac42ac

Pith citing papers

Observation e16130f8-5646-4742-8612-3755726e9e69 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching

Reference 181

Resolution
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arxiv_id, observed 2026-05-17T15:14:26.158912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-17T15:14:25.558878Z digest=sha256:cfab905e8b832755db7fda801c5d3c5e113970715cd862a929af2adbc697b7ef

Observation 59b81246-15d1-490c-9c32-f075d390cf63 · inbound

DAG-STL: A Hierarchical Framework for Zero-Shot Trajectory Planning under Signal Temporal Logic Specifications cites this paper.

DAG-STL: A Hierarchical Framework for Zero-Shot Trajectory Planning under Signal Temporal Logic Specifications TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching

Reference 84

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:21:03.083953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T03:53:37.295204Z digest=sha256:50d1ed7e9d74930bcf3fc3625557e6d36161f3fba925f1e32892d1e615971b06

Observation 4862035c-e972-41d1-84db-6b5f77b99a1b · inbound

BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification cites this paper.

BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:51:06.363537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T13:50:53.258092Z digest=sha256:876dc673cd4ecda2a7fbf4446304fcd726be7f641a2c7f326af54db5f0ec8187

Observation bd2f5b5b-152c-4f8b-8887-149ce5775534 · inbound

BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification cites this paper.

BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:21:26.656239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T03:26:41.396467Z digest=sha256:00033c5611c00d03a0529ba4051a571d4f6da95fdb8bc357677a9faf16ff1110