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Paper Citation Record · LEDGER

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination

As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2507.19151.

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

pith.paper-citation-record.v1
2507.19151 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:05:58.415657Z

measured 54 of 54 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 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

54 of 54 outbound references displayed

  • verified exact1
  • verified fuzzy39
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe6f2926-331c-4d55-add4-d1efea8f5672 · outbound

This paper cites Blumenkamp, A.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Blumenkamp, A

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.812282Z

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=2026-08-15T18:05:58.281474Z digest=sha256:3a9b38d63bc261cbab9c740ca48f1155525e9c4d7736971f17d2decb5f07b306

Observation e2895dea-8838-4d71-8dbd-740bf4f5c378 · outbound

This paper cites Alonso-Mora, T.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Alonso-Mora, T

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.805073Z

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=2026-08-15T18:05:58.288144Z digest=sha256:bbe96d2c86866c6be1408ceb4fdd3e188482f2ec67883789405ba2c84f2dda3e

Observation d4984720-abbd-424a-a35d-871b83269936 · outbound

This paper cites Merkt, V.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Merkt, V

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.795556Z

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=2026-08-15T18:05:58.290726Z digest=sha256:5afaaf3935749b6ec774058ae60fcb9ad29a18fd31226a2353f5125aba94c6cb

Observation 6fcee050-2975-430b-a23f-58e243033b6f · outbound

This paper cites Gregory.Constrained optimization in the calculus of variations and optimal control theory.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Gregory.Constrained optimization in the calculus of variations and optimal control theory

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.788910Z

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=2026-08-15T18:05:58.293325Z digest=sha256:cfa15d397018560bd25008fb1c113a7d049dfbb64ca1615b504b3406f678296a

Observation 4eb66b2e-5295-4175-b6be-fdd04010f814 · outbound

This paper cites an unresolved cited work.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:05:58.781726Z

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=2026-08-15T18:05:58.296085Z digest=sha256:757fdccfdfb26a13ff5354219e03cef81463a05994f1e410f2bd8292b11fc5c2

Observation 61f28d86-1b8b-44a6-82f0-4ad4a931614a · outbound

This paper cites Busoniu, R.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Busoniu, R

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.774478Z

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=2026-08-15T18:05:58.298828Z digest=sha256:28959e99963433d453e25e9916154f6be6ecdaf73c72f26d91dfd3c692000819

Observation 30f4e4e7-6d5b-46c2-b244-e69cbb7776a2 · outbound

This paper cites Canese, G.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Canese, G

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.767888Z

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=2026-08-15T18:05:58.301387Z digest=sha256:038a93e3a6be35e53a0a4189a7655bfec97e249d25601f791033f52c0af089b0

Observation 7a30206e-b09e-4d0b-b29d-725459b426f3 · outbound

This paper cites Gronauer and K.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Gronauer and K

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.761164Z

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=2026-08-15T18:05:58.303769Z digest=sha256:e2c59880ec84ea02e29f4e024b2b832bf0bd146ab77edc81b8f05f49a8f6d9bb

Observation 2b208ed7-add3-4501-8c93-e96a0b5988a1 · outbound

This paper cites Alshiekh, R.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Alshiekh, R

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.753774Z

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=2026-08-15T18:05:58.306220Z digest=sha256:b5d977242515c3eaaac9ecdca4fe39bee5f6edbc2c3f1c5e7d95e5c1ce45e2ef

Observation 0289fc91-54b9-47ce-bc7c-e5cb5e67337f · outbound

This paper cites an unresolved cited work.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:05:58.746961Z

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=2026-08-15T18:05:58.308852Z digest=sha256:ec0431733b657a6d20dfcf0d4847d4231bb4c1b0dff06a6df73e96a6e99e2923

Observation 6e30ed1e-0aa5-4da0-961c-1e4c634a01dd · outbound

This paper cites Van den Berg, M.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Van den Berg, M

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.740407Z

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=2026-08-15T18:05:58.311299Z digest=sha256:1fc9492ce9873f225a3baaff518ee7ebb96660805fa91d3264e9e88c24eab9fd

Observation a45ce1ed-234b-4e48-baba-c8a0f71402d1 · outbound

This paper cites an unresolved cited work.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:05:58.734011Z

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=2026-08-15T18:05:58.313700Z digest=sha256:9a8881999238c8de1c02f1ce66c14b8ee14c1cbd2fcee292833ab8d495f28b54

Observation d4f5899f-1c04-4449-a9cd-a4dbc636f3e9 · outbound

This paper cites Fallahi, J.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Fallahi, J

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.726889Z

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=2026-08-15T18:05:58.316538Z digest=sha256:26c70a9e59ac648d34501f6fd5385e5825cb7848d6823fd6e5a0741de39c50fd

Observation fd77d7e4-3bcf-4b17-9be6-dc6982540e40 · outbound

This paper cites Nocedal and S.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Nocedal and S

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.718884Z

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=2026-08-15T18:05:58.318774Z digest=sha256:a3431ce42966a2e1081ac608bf2164deb64a688f1e43f96e6b61d4899186d13e

Observation b1e7b223-ae3b-403b-9332-4fdfa0898ced · outbound

This paper cites Nguyen and K.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Nguyen and K

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.711144Z

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=2026-08-15T18:05:58.321173Z digest=sha256:e2e638451d8d8cda5885e7fb15cb8976883cb19408c42a8c5cc94822cbbc4f14

Observation d98c2c50-c319-43bf-b86a-6565e5148609 · outbound

This paper cites an unresolved cited work.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:05:58.703654Z

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=2026-08-15T18:05:58.324111Z digest=sha256:14de275861714d1f3b44a1580b9f705b7992c0e5a6ca19fea1618c65bb56b639

Observation f8166eb1-d75e-4f46-b656-44c9a05b31e5 · outbound

This paper cites an unresolved cited work.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:05:58.697144Z

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=2026-08-15T18:05:58.326521Z digest=sha256:61a3d83c90b399c48974df4fe1d3e1981ce2ccf1e8f51b89dc0ac1db50254c9d

Observation 66d42d5e-8e88-4d08-bafc-073458129130 · outbound

This paper cites Xue and W.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Xue and W

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.690527Z

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=2026-08-15T18:05:58.328909Z digest=sha256:a0aae30db222075a11dbc7ee14d505b8fdf3717e5d9bbe8f2002ae2db59f4486

Observation 26af34f7-9da7-4c20-85bf-1f4238a623a4 · outbound

This paper cites Ning and L.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Ning and L

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.683945Z

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=2026-08-15T18:05:58.331064Z digest=sha256:5212d0d2d18c8a3a5548fff0e0ef9729f708c50f20da952da368509b73a640c7

Observation a2a49b79-ac74-41a4-9e13-1cc06653ec66 · outbound

This paper cites An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T18:05:58.333520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:05:58.333520Z digest=sha256:a198882a39290f70aa6f63aab9ce2258d206806228097526085ed228c53cb81d

Observation 7af134cb-f324-43cc-91e8-f1505b4b8d82 · outbound

This paper cites an unresolved cited work.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:05:58.676849Z

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=2026-08-15T18:05:58.336354Z digest=sha256:d5ec14aa3b492c0226537d22a4004743c84be9f51a065b973287864797c405b3

Observation 205bc1fe-89d8-492f-b6d9-687b46195318 · outbound

This paper cites an unresolved cited work.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:05:58.670121Z

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=2026-08-15T18:05:58.338706Z digest=sha256:a7d5695bce5d6fbc9edffc2ef09c285cc1d8535114c790b4e4fab6ff3006d8ba

Observation 18118e1d-d6a7-43f9-95ca-4a2bab316738 · outbound

This paper cites Nayak, K.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Nayak, K

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.663072Z

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=2026-08-15T18:05:58.340997Z digest=sha256:1335227b6c7e6890c27c1428bdf6d1c072ba594ba6833f2ba3e0d13b4f91b3fb

Observation 8420ec31-1eb6-479b-8a91-54513707693d · outbound

This paper cites Amos and J.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Amos and J

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.655496Z

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=2026-08-15T18:05:58.343263Z digest=sha256:44b74acf2046a94ee770dc28fc0a0c714b0da9bc4049f69529f36eace584d985

Observation 6ae52f2d-cb7e-4930-ba28-eac57f1d4024 · outbound

This paper cites Blondel, Q.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Blondel, Q

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.649016Z

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=2026-08-15T18:05:58.345771Z digest=sha256:a7343705d7a90a79377add633914ef625c4daa8b720ace9725024fdae1898381

Observation 49c253d3-4a2d-4642-a1c0-4fab05f372f7 · outbound

This paper cites Agrawal, B.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Agrawal, B

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.642671Z

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=2026-08-15T18:05:58.348040Z digest=sha256:cb071bbd75932daeb39fcfbcfad3a1c92909dfdb734b0d471eac9537ddc734e9

Observation d7b10ac7-e4f2-4650-bf69-dcfe7919e57d · outbound

This paper cites an unresolved cited work.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:05:58.635758Z

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=2026-08-15T18:05:58.350141Z digest=sha256:71d203cb4f32cb470812879e48c2faaa7288fd69a3e4b81fefdf13667cb0e246

Observation 74fdc239-f05c-4301-8b9e-8a4e6b0b1523 · outbound

This paper cites Zhang, F.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Zhang, F

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.628899Z

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=2026-08-15T18:05:58.352498Z digest=sha256:584c09e25297fae0836da39a43ecd451b2ed7cffd5924e7a348964366b571fa8

Observation 82d2692b-2e7e-42a5-bc62-8df07ee3261c · outbound

This paper cites Motee and A.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Motee and A

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.622379Z

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=2026-08-15T18:05:58.354926Z digest=sha256:cf3a0a2b108a0c3f2ca53beed70e52cc4b1aee1269342b6475a574eef8b635c0

Observation ee9d68d3-e55e-4117-8ab2-5e6cb78dfc02 · outbound

This paper cites an unresolved cited work.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:05:58.615134Z

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=2026-08-15T18:05:58.357105Z digest=sha256:5a8c294a9026de3455ba66189bd15add805ef986f2e4cbf4cfb45af910e2bbe8

Observation d310602c-b61e-4566-96d0-658c9c120a19 · outbound

This paper cites Romero, Y.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Romero, Y

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.607424Z

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=2026-08-15T18:05:58.359497Z digest=sha256:1a14beab5fa2f7cba6014ed13a7ee13edd140d211e8a7e4ffec978e19f213d3b

Observation e8ae3ec5-427e-4fd2-98e5-df7efbe392d1 · outbound

This paper cites Sun and C.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Sun and C

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.600584Z

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=2026-08-15T18:05:58.361853Z digest=sha256:33766fe3997f9466f454e29fcecea9ba0434676d0e40208ab6a4c017ef6e4b6b

Observation 20243b96-633c-4bc0-9d94-1ebe4288b9ae · outbound

This paper cites Chai and J.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Chai and J

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.594029Z

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=2026-08-15T18:05:58.364197Z digest=sha256:4d0cd5881682dd15add1c369cb7175ba1846327ca2c9bd86f41d2ff9af1d65c9

Observation 5893eaab-c5c5-41be-92b7-5dd0fde95a84 · outbound

This paper cites an unresolved cited work.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:05:58.587447Z

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=2026-08-15T18:05:58.366535Z digest=sha256:4e641add2cc80561c55753cad714db6ccdb6255f9aceab33773f8916d3d656f0

Observation 9446f628-0902-40d0-ad0f-75471de705c1 · outbound

This paper cites Mu ˜noyerro, A.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Mu ˜noyerro, A

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.580120Z

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=2026-08-15T18:05:58.368939Z digest=sha256:2dc3325502dceb4c7ffb79344c5a8dfca6f4b3733d8f404b4dafd7dfbbaeba0a

Observation c79a4ed2-ea92-432c-8d22-1175edadefd6 · outbound

This paper cites Gonz ´alez-Briones, F.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Gonz ´alez-Briones, F

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.572516Z

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=2026-08-15T18:05:58.371555Z digest=sha256:ea51f387f193a176667ea13597c28335749d04eb63d7cf6f8eded0ccafbce0cf

Observation 53f4dab6-557c-4bea-9314-574ff78822e8 · outbound

This paper cites Gao and A.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Gao and A

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.565763Z

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=2026-08-15T18:05:58.373988Z digest=sha256:11b60e7fbeee00550047d45a397246494f7eb36df64b4c810880d181ce29c07c

Observation 13bff1cc-cca1-4407-8d09-62aaf57b961e · outbound

This paper cites Gao and A.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Gao and A

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.559029Z

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=2026-08-15T18:05:58.376228Z digest=sha256:ca4038be7268b5ad1d27befa1b9bf7e955b9d94769bb482cfcc141ff0af4349d

Observation 67d3fc6d-676e-4af4-8ee3-ba2a281d8dcd · outbound

This paper cites Kornienko, O.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Kornienko, O

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.552214Z

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=2026-08-15T18:05:58.378602Z digest=sha256:b7669af722c2f7b88d27cda174940c268f919cbd02ddcc2dd5d394181fe69366

Observation 2373fef5-01f0-4b79-96cb-30d4532da201 · outbound

This paper cites Nedic, A.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Nedic, A

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.545266Z

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=2026-08-15T18:05:58.380932Z digest=sha256:c8524b98ab49b06bbe5d91cd9e975f1eddf3795911df384c74a274ec1875dc2d

Observation ae283432-5705-486b-a247-7edfe1c007d9 · outbound

This paper cites Zheng and L.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Zheng and L

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.538536Z

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=2026-08-15T18:05:58.383296Z digest=sha256:b14df7f18ceeeb5f3b056c44f2fb9dbb5b9d4b732205055a4aac23bd74a614c3

Observation 26a8efea-dc81-4081-ae40-f94366aff9f5 · outbound

This paper cites Bus ¸oniu, R.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Bus ¸oniu, R

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.531508Z

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=2026-08-15T18:05:58.385688Z digest=sha256:c5dd25780ac53ae11a53b156b7f0b2da36d95a90f101f84e88ed7f1affaa491d

Observation 3d8dcbfe-6079-4ed5-a41d-05d77fbf358f · outbound

This paper cites Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multi-Agent Navigation.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multi-Agent Navigation

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:05:58.452195Z

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=2026-08-15T18:05:58.388009Z digest=sha256:28a4a6d0ca7ce7dcf10437fb85d7bc024c766a97bacc5c5f803dad8d8a4d58e6

Observation 71a7d887-44c2-4e21-8312-eba98e6a7299 · outbound

This paper cites Damadam, M.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Damadam, M

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.524391Z

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=2026-08-15T18:05:58.390586Z digest=sha256:b6c3eb6dc4a49f472be868e5ee39da29d36982efa541153ac389f130fa5e9038

Observation c2c00057-29ff-482b-88cf-1b7734f6590d · outbound

This paper cites an unresolved cited work.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:05:58.517530Z

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=2026-08-15T18:05:58.393003Z digest=sha256:0f6d8dd043fcb7a60d1aade339d349fc5401abe0db1b9062357904571ea20582

Observation 2d751ed5-d44b-4588-8a2f-ebf9a3f755da · outbound

This paper cites Aydemir and A.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Aydemir and A

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.510509Z

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=2026-08-15T18:05:58.395345Z digest=sha256:e0b97c5d285888a177015af082dd06018ba98d066613b2d485ce339a0a13ee25

Observation 5cc80855-4d3c-4087-b151-735908494fde · outbound

This paper cites Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T18:05:58.397602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:05:58.397602Z digest=sha256:ff80085ed10bd297b25350eed7f5e8e2d68ab271193bd353e87cf2cab441191a

Observation ee19bece-28cd-4c3e-8284-2c0cf02e9419 · outbound

This paper cites Proximal Policy Optimization Algorithms.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Proximal Policy Optimization Algorithms

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T18:05:58.400624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:05:58.400624Z digest=sha256:c0f071533b16c5a062ed55dbe566192b0603d9923c4ddbbd65241104c50b5206

Observation 4dadbcdb-52ee-48d8-a578-6b9265cadd19 · outbound

This paper cites Brody, U.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Brody, U

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.503251Z

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=2026-08-15T18:05:58.403223Z digest=sha256:558ad3cfe283e0096338086998352344ace273348cbe041bb73a23c2314dc8e6

Observation 668a994e-cba2-496d-a68d-fdce04d4b798 · outbound

This paper cites Bettini, R.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Bettini, R

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.495648Z

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=2026-08-15T18:05:58.405597Z digest=sha256:1b445fc5e49180ce04461bb159e61c4505b5db509acd4addbb9f5ef37ab4cf4a

Observation 92e48c38-e500-4c3a-ab66-df4a7719db47 · outbound

This paper cites Bettini, A.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Bettini, A

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.487959Z

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=2026-08-15T18:05:58.407843Z digest=sha256:704f4a573f94d90c3e00b58753a49324d8905ba5bb11006f4369c03a7ba09be7

Observation 66ec046f-f4e8-415e-b61f-e1d28884b006 · outbound

This paper cites Blumenkamp, A.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Blumenkamp, A

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.480850Z

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=2026-08-15T18:05:58.410193Z digest=sha256:43fb1632d99164686a5cffa426f13891ade6fe3657b387d306e3d887a3a2ea7b

Observation aa5b9abe-299d-4433-b513-1eb38c53f022 · outbound

This paper cites Shankar, S.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination Shankar, S

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.473925Z

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=2026-08-15T18:05:58.412718Z digest=sha256:eccaa2b7b94300e876e951701c79d7d745c0ce437a97397b228f8986503a1fc1

Observation 78faee09-0c8c-40f1-9770-ce6eab16a76a · outbound

This paper cites all or nothing.

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination all or nothing

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:05:58.465772Z

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=2026-08-15T18:05:58.415657Z digest=sha256:1b955511081db82a334d92890a9864f16cd477e6c321f1821aac8f1b83adaa0d

Pith citing papers

No inbound Pith citation observations are available.