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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=sha256:5c7b1f405381a8334a22f98ca063ad7191381a5b93478b7e47cbce4faa2101b2

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:ea2b36985967c995ec9beff604fb177399ef43d67c263cd14df12f8dc463b01a

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:ad3f02c8a3c518595e5e6cca0259be37711093dbfc730aa1ac72746f2327eefe

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=sha256:0f30b60bffe084d5dcf1e9d7f3ae09ddd1071dc6b910c289700814eeda58a59e

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=sha256:8dc2026ab271ef1e0db5127acf039cbe6a917e05ba0c1a3e1d3052a58e5a2a13

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=sha256:69210146439d9b6facf71961a9732a03f8b89980ba88ab9065233c48a6addde8

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=sha256:83fb3f1f1abead6938c7817dfc79aeec82083a1744b038f4eb18ff72714adfd2

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:c08210eff0910e10eadac61fc5c076823961aae91053089274cd2f52f045ec8b

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=sha256:1dd4cd5d30cf27330f3f19dcafcc5f1d950fdfd0ce5a905a5dc541cd73b39124

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=sha256:2c274afc4fec0ee7a20fffe1161350497a4a8721b206971ac9b427b3c38fd484

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=sha256:4169aa9d80150d09f1a441ea1f4cc8c2f708660495d233eb4009dd7d80e14880

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=sha256:5450ac8a5bea88b532ef3806a6951be31b9cbb83bd920bfb6bb95c65a63db10e

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:a6f04d6f7d7e860f03b77faa992ca4b7bc48a2591b9fe3d5c8f6a5054777e866

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:bf804d545e5fd59da6a2697d692af919b49d6b74f01d63b20a9304b5044ec8af

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=sha256:9f2404f4953ff56231a1c54da61902c85ce1c1190cea05b573b1441e389c8a96

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=sha256:2fbaaf3ac6b0461a29bfe7664eb5a7cd7ab324fcc612fbca23a8f2313afc2e6c

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=sha256:9447a69faee388a7509be5a0150410b261fa03a38ed28a0c9e2b9213aa57371c

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=sha256:9999bb509e830e12d45d75081d777c8a3422cd3769c7d5e1d7956b30b853ca7d

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=sha256:2e081a31368610fc3d4662133b8f638883f4db7dcf334bd2b9249a47370de6ac

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:dbb5cbc4f522bb5a78098c8084c2adfe199803778b46ad83b99d6f2740107c3e

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:b5234bd2fb0f5f89ac649f4078e93e75c8cfc6f083f5e053d69150ca25648130

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=sha256:8a5b87f0e72e3abd720fda629b093d09ed1f21546c78b4d51617f0c8b53a9238

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=sha256:01cde008538186125b2316c010def239c956d0f5fb137e31e2f83053cb5b645a

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=sha256:2d7ed1af8a25b2875ff2f1f972e095a9865552133653516e5db17a61745368d9

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=sha256:4550b721f0077a65e6e31bfa4217e57f0e844ebeb1c330c4ff5c3391ef8968b7

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:c9a4d4c12acb1eb3fe6ee4b84d860adf05d9f8e939ee9c80ffbee4d01dc04c00

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:f7c3c6326a5cf1397da2f4d88aeb110a3c8d2f33e38830573e25d729d718e17d

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=sha256:2d5b7f7ae843e3c34e7b5e8977f14465f07714d3b3e69d4b980ed56e98e9535b

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=sha256:828bad3f0da4951d5c48f6bfc4befa6b9e29119aa1b765ce4ae00559a1290a95

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=sha256:8f86ca11f014686dc070a5d5b4927b26f2d771f3ce6616bc18a759e98c051dfa

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=sha256:787d71d7e6f44f1ffee9067f4ac5296877245617dd1b321680e9fcd2d1f3ef6e

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=sha256:6e25ec3d013cd585d5c22e6ee4b5eab1dba6d6ff802037e48260fd9f8f5f8c7a

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:f62d1fea193f06f6eb63985589e14af0a3da6c9ead77dc066f6b697ff3d64e4f

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=sha256:0d3a0d60b6a061045f174f0940c4f041102b7759acb45ac509b5a29c74e7e521

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=sha256:93f42e3e7c0790a42506d0c86a97112fe40c5e0b552ac0502bfa184a077b980a

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:d8bce4a5c8597ac9395235d1c6699ee91fc10ecea9ac11add2d14e2ea23a4e43

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=sha256:899771fc54e3adc68aefda95869f739153cd9e269645ebbc6e31831336f2094b

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=sha256:24bfe2f60f07b6f1934e1cc71e0a5699a529ae6b6d44ba9488c0f01aea00908f

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=sha256:723883c4590cdb558133a30b1efa7c36e31c131ad430e6afe73b46990aebf764

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=sha256:238e4deabd4caf52162eaa453c301334f44684f0769d036fd50681f225dccdc6

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=sha256:0d4d0369501fe12ed5d05dafbf031972c32b2ef8f319d364ad8ac2cac6c7d246

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=sha256:81ac0c4538663a593ddcd7f2924d5483e4ddfb7464681803aede9087f046f9fd

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=sha256:2f5f8aeb011ef62557c2cf8a85979ede8c673de00c6b0358eea41386c838db73

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:d69bd62a7b20d461cf184271fa8fcde3e7bb3fd0bd7c2147583d59295099ef15

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:c36e077dd7a8b4bb7d71b64e0a5f5f88e8950805e36a1f3898a989864921ca90

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=sha256:6596423888c57d9457ffad7be39f69c6e7bf504b7d0cad0b1003319bb489b0b2

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:f40537c0a15ab48e4946da2729d2a8648739b184460d90e6d273fccfac238abe

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=sha256:16c7c519aa3c3526ebd8d47854048070424127cdea56e82d383e134429d99a61

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=sha256:1900befcd08b39d541f490b87c46ce7cedc8cb05cd09817bd99b5642383a3dc4

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=sha256:214eea0425c2027c6cf7108efd6444e679a7fea07975a81a2c5fe6c46f92cd5b

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=sha256:9444f0631cfb6e19fc7b732e3977a77c975b88f8afff4348f6d5c67590c7f997

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:a7c1d27b6bd29a57f7bdbbfe9a0fb690ea5d052600f25e6d5d44dec6342c1cfb

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:d5ca2aad6f99cdb38ad752eda75c175658a73980ac7407210d7b2a9eef5dc4bb

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=sha256:38515be20c727903676d39490809621598d53e121cd0bbd74f78562a9786bbf8

Pith citing papers

No inbound Pith citation observations are available.