Pith. sign in

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.619498Z digest=sha256:d1a7a683531759b04b28f5a96765444e4d229f52fca56dc93539ad7488ec0ea7

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.649368Z digest=sha256:25234a65ba242176718da5e817a5c0917e54b41c6878ae97a9e9f5bdc1c0c72c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.653502Z digest=sha256:513627fbc3e024fcfe942a8d749896d378c8c5fcc2977133df0cb6e87bb663e8

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.657682Z digest=sha256:e6e7ed26f642ea65791a665d0a8fcf28fe2b3f920a124dcc94ccad1289146c1c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.661975Z digest=sha256:a38bd1bb84e4bdb7b673d19cd89198fcaf517308934c665eb4514eae9279da53

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.666178Z digest=sha256:61d9382118aab34ac395ebd61e1c47920de451ef3218bbd74b2740fe094bfba3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.670565Z digest=sha256:6447fe9951bdbd73a7791dd169ded2f7c248c18f7f6ef042cc3d0d499ad18df9

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.674890Z digest=sha256:00008ab8d4933292cc5867fe438fd583973ab75d83f5c9791235c5b08400c81c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.679537Z digest=sha256:06dfc60804bada902273069afc89260f7aeb0fa5c51dd132cad03e10cd0ea5a1

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.684267Z digest=sha256:ec0630744aee2faa8a8af1081530c57a5c3342d54e0137c3cfa18b8fca9cc026

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.688349Z digest=sha256:7624673c2c58dbf007cd6744338ede3015eef94e08504b7b8cc8d6e3fa8b7153

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.697698Z digest=sha256:4bb53c727e5ca5fef1a62f02d8f0af81d9f55fe232826dd4d893da1a134d880d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.706979Z digest=sha256:417e7c59131a942e016a979cdf6ea206240747fe2ba6d6c668cfb0e3bd761ca1

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.711121Z digest=sha256:16f554afbc042da9a6356e0d93ddfcd37391b21c39c006b418d3a74d656b15da

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.715274Z digest=sha256:40a48e582bfa3df6524424d9c03a458844e0df6285174d0440fc9b5654f940f6

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.719860Z digest=sha256:aab02c7121898d59b01ba4e493454c87b19c814ced7b783be0746aed42313dc4

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.749951Z digest=sha256:217ef8b221430baa162710678c56a0d45f0128586700d480d12718cefba8637b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.763099Z digest=sha256:664fb69fe95aadeee3f430dff379fa4098850e55b03d86c674a4a57242ded874

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.767306Z digest=sha256:d98e10f6c259d4780d9910b1d7147466b5e0607c190a7d10b7ebc4222f5c5d7d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.771330Z digest=sha256:2c8a59c60df9f0945e50a42d58ace93f4810614197e841bdbd4f9f06af95ee6e

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.775614Z digest=sha256:02571d4e3f9f048fb97fba9d1a28b65a55b88dbbf41d414535db5178e617839f

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

Resolution
unresolved
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.784227Z digest=sha256:e43ed13994b69d68bf6fc96ace798353ac8926d56803f71d7387c3ea9e72dac2

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.788753Z digest=sha256:ef5d264d9500e12f819435ac9bdc378c6201f2a10b916ca2c8e6beac56b274db

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

Resolution
unresolved
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.797998Z digest=sha256:792fe49b3d2785e000084f670f06781a5e42539e01a27a01d8081ed060bebeff

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.802423Z digest=sha256:c2a891baf3464e56396e7ed5f299a482cda897fc2ed2e2d48b4643fd7dd32f40

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.806822Z digest=sha256:82f96d1b958f1a68a2e7d891dd0e3de02f0c456ca04361d6e4f3a565fa9fb266

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.811236Z digest=sha256:03e7f5faed3c40fa0cb9e4c6dc56cfbb41fdd149db28223cebe944e091c9c1d5

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.815888Z digest=sha256:dc03855f692747b028b912fffee1a79d87364cf547dc61f844682c655cdbbda0

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

Resolution
unresolved
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
unresolved
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.830855Z digest=sha256:d0640ec38279bde3aa1317729a2de069d6657dc9d1b66888814cfdac1ad16173

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=sha256:469dcf16fafdeb4deebdcfdd9224b9bdf07a23e061a27b1ef564417a496f20f9

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.848662Z digest=sha256:ca7ef30f562b1f033c5ddb7663cb124ae2a0688b6da4086a864fee60521dc78c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.854060Z digest=sha256:ad0b6067cfba23d8e328d782c9e2c9b6708fac3878eb454f227b85b74382036a

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.859663Z digest=sha256:5ef4696d16c47ce88cec6c51c12117afb7e0839ca0df70100f8f65e1d4dbab10

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.864966Z digest=sha256:9a8241d0293f1b88628a1b6c324621dea21ad044b82e8d9802a308ad791af188

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.893896Z digest=sha256:c150976c733b54bf0577b4da3f5c359283dd91588b1d3f721e101ed64a733959

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.905950Z digest=sha256:8de600c66b8e75b90def424687613e7a017df84c8511afd87496a7273eee02c2

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.939315Z digest=sha256:e2e1e02f0e371046dfc46f637fd941d9e6a61b5c33bed5f5a8d9cde7ff207e30

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:44:57.944557Z digest=sha256:5c5302501a2824471a8466fcd8ae0f7f71c48e2dfd1982ed8b99fb56fa481b69

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
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T15:14:25.558878Z digest=sha256:f08820089b9304f18f1d7eb0330d834ca640d749d17f83a258cbe6ccb5afdbb4

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T03:53:37.295204Z digest=sha256:bffab5d04272df5bc4d34e0816771cb4d56d3b630764144494537c0e33b96703

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T13:50:53.258092Z digest=sha256:4fe65a97f9342b1bbf975ee75b504b6cc6dc30ca2374aed34053023300c9674b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T03:26:41.396467Z digest=sha256:b8ca29b13bcfbc4c99579db9b92872535c18eca0ec627707c87cac8e1f45ddaf