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

source=pdf_text observed=2026-08-15T18:05:58.281474Z digest=sha256:b8c7b364f785a12326b85cb5ee23483455147d6a9678ac12b3cf55cd55273bb4

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

source=pdf_text observed=2026-08-15T18:05:58.288144Z digest=sha256:b08ad154aa822ab494df4b4f19c002815d2e77d60291f8965101ba18216ab4b2

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

source=pdf_text observed=2026-08-15T18:05:58.290726Z digest=sha256:cabfaa6d9acbd8a5a1c71042d7ea0cc7cb43ce7ccf3b057b10a12c4647289cfa

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

source=pdf_text observed=2026-08-15T18:05:58.293325Z digest=sha256:a829ce6e12fe4d6bdc17ca040c6c8e2426c78b3089be8c9182e557001b92a677

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

source=pdf_text observed=2026-08-15T18:05:58.296085Z digest=sha256:439c0ca74d1e84079e82d1c846675c3289a23d5b9c8965f23c03b42fb54386ae

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

source=pdf_text observed=2026-08-15T18:05:58.298828Z digest=sha256:5b66cd009db91307d2c88034795abe98fc44421734cb95245295a6a44eca14f7

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

source=pdf_text observed=2026-08-15T18:05:58.301387Z digest=sha256:56e88746f38241689d1394f3dc52de52f5d85b6a930cde19eae8dae76c28adae

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

source=pdf_text observed=2026-08-15T18:05:58.303769Z digest=sha256:2554d8308c87146385d9b52380c6da83bcad5e7adc1104fb9fe509f87b48391d

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

source=pdf_text observed=2026-08-15T18:05:58.306220Z digest=sha256:809f090173df768fc98dec3ee8c3989fb879f555e4157d9711b34d5cecaabbf8

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

source=pdf_text observed=2026-08-15T18:05:58.308852Z digest=sha256:b18920d7a4a2bf631669e263c80e7542886f64905e6025a9fa6c3cf43783cba3

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

source=pdf_text observed=2026-08-15T18:05:58.311299Z digest=sha256:0b42d8f7614c7ac6f9917b1644c63ba3e95bb24ad49ad6c161d6d653e9fd6b1e

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

source=pdf_text observed=2026-08-15T18:05:58.313700Z digest=sha256:114a68bd9e5064eb87672a32e43d79cd7cd30ac98fe272e8061579fed319748a

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

source=pdf_text observed=2026-08-15T18:05:58.316538Z digest=sha256:92fbfa74346ddbe53f8a9c6ed7c61b27f91c734d8649952a07068cc5d95a704b

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

source=pdf_text observed=2026-08-15T18:05:58.318774Z digest=sha256:2ff3d85b63e32b4caf6b74dc15a091e55236c425faae4e13636a73e93d23bb10

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

source=pdf_text observed=2026-08-15T18:05:58.321173Z digest=sha256:8ac74415c3469c571613db5a476a6d9700354b4877506ccbe9040b3440a14116

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

source=pdf_text observed=2026-08-15T18:05:58.324111Z digest=sha256:57af9930f88d0d09264db9c809de49d23b2fbee0600d6238b74ac7788bc217e7

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

source=pdf_text observed=2026-08-15T18:05:58.326521Z digest=sha256:660152a7f4aeb544093846447396a1298b4ec4768b9e3163c72f29f635c9f81c

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

source=pdf_text observed=2026-08-15T18:05:58.328909Z digest=sha256:2852e2a74c9d2f5caab6b76d72715f82f13d041477f441401b32ca758de5f39a

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

source=pdf_text observed=2026-08-15T18:05:58.331064Z digest=sha256:a963a2c570356a87f23340feebb0dbe68386d854f05ad37bdde8a0e57838bc02

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

source=pdf_text observed=2026-08-15T18:05:58.336354Z digest=sha256:71014278653f5a84a91dc564b354dee385bdb23ae0ebcb694f462a3fef8955d6

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

source=pdf_text observed=2026-08-15T18:05:58.338706Z digest=sha256:28285902c9ed2404948a54313e974b4c28f313d799cca42414c6edd7f86b4401

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

source=pdf_text observed=2026-08-15T18:05:58.340997Z digest=sha256:388db5ad0c1b2aefcc06b86f88baa36c7aee32264b95dbb062e73781b0fe89b7

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

source=pdf_text observed=2026-08-15T18:05:58.343263Z digest=sha256:0ac5bc6eb4cc194ba1d6bd66a9f950cada95daca89e4489c1e22b1a14ce528fb

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

source=pdf_text observed=2026-08-15T18:05:58.345771Z digest=sha256:d27224b1ad6cb4989858b897f2441c5a1e2c55cb9c1c83a314357b9d287e596d

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

source=pdf_text observed=2026-08-15T18:05:58.348040Z digest=sha256:6488d82a71bacc97fea06e0fa199ecfd2e0678c1cde3d385b1abfc1048177bf5

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

source=pdf_text observed=2026-08-15T18:05:58.350141Z digest=sha256:3cf443bf1b46d106154e20e6a4f36a5650f46330a35cfeff3a041914a2f6e6d0

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

source=pdf_text observed=2026-08-15T18:05:58.352498Z digest=sha256:83f88313b9c00aba3b4e9acfd9a64d9db6f003d729d0b94548c29f51a8c76411

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

source=pdf_text observed=2026-08-15T18:05:58.354926Z digest=sha256:342786ae1efaca9bf06efca05b0fc1598f3be26733970afb0cd0565e5511e04a

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

source=pdf_text observed=2026-08-15T18:05:58.357105Z digest=sha256:e5d82bfb6d91da35ded5dbabe067edc75226820f1467101f3607eae88f4bcd7c

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

source=pdf_text observed=2026-08-15T18:05:58.359497Z digest=sha256:d67255927dea85f67b7983e65ca24947f0f8743943fb830f20b2d968a9515eab

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

source=pdf_text observed=2026-08-15T18:05:58.361853Z digest=sha256:b193b81e5bdbcb2f56c9ead1e5fcf24475a51f33085ed34d5df8ed47d7b94591

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

source=pdf_text observed=2026-08-15T18:05:58.364197Z digest=sha256:bd01a4f098ee5340c7acc62df3b90a8e9d126f0f0145c66bbe7c42cd78f221d5

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

source=pdf_text observed=2026-08-15T18:05:58.366535Z digest=sha256:e49ed690180a163a012b3e6a63f304c7f39a03e00d6208dc1e2faa533c744983

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

source=pdf_text observed=2026-08-15T18:05:58.368939Z digest=sha256:8a3c3f95a558020d6177408320cafdffd0b23c75eca560a905047acd847fc4c8

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

source=pdf_text observed=2026-08-15T18:05:58.371555Z digest=sha256:4765e328213dc0c14548f1e9b348fb8d3f72b0e882518450fc110fe188cb9dec

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

source=pdf_text observed=2026-08-15T18:05:58.373988Z digest=sha256:a8308f93d0a36d45225eee45ccb2a13d96baaaae6d14efefd1941652f698732b

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

source=pdf_text observed=2026-08-15T18:05:58.376228Z digest=sha256:b6b5d48db6705071a6a879014eb45e3ecec23c3720bf143ff20a80eabf03d3e7

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

source=pdf_text observed=2026-08-15T18:05:58.378602Z digest=sha256:2e8ef39018b4b5d269d6ea4f837141f11f0a0f923f26fe1a53288d42fadbb458

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

source=pdf_text observed=2026-08-15T18:05:58.380932Z digest=sha256:3b8dc65fabbb8548bfe0f5fd642e3ba9241ba3bea05b5d94d5ab2b4a9eceab62

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

source=pdf_text observed=2026-08-15T18:05:58.383296Z digest=sha256:a906b91dedd12fb45b72d96a8c12f6f068814d9f1f8781bb60e57de0f7643a86

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

source=pdf_text observed=2026-08-15T18:05:58.385688Z digest=sha256:47a238f0ce9a74874387a37a144ad5373bdb63228af6f31ffcc32a3cbe623a1c

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

source=pdf_text observed=2026-08-15T18:05:58.388009Z digest=sha256:05b052e8afec54ffe655fc34fa6c472b0eaf9c4c3879da9ac3259d8b31f1a171

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

source=pdf_text observed=2026-08-15T18:05:58.390586Z digest=sha256:30a739bed7747edbd7a726771f26aedc2bc7506e5e1873c8c5c6a04d90dd160e

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

source=pdf_text observed=2026-08-15T18:05:58.393003Z digest=sha256:9caaaa4ff580816a428b266c08eba693486236d2bd7ffc8ed7028158e24a5ca6

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

source=pdf_text observed=2026-08-15T18:05:58.395345Z digest=sha256:872b4e712d0f74f4a5b591bd4043fedac407b54e0e5751b6cc9653f66e1d279c

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

source=pdf_text observed=2026-08-15T18:05:58.403223Z digest=sha256:9cc7e48aacdd28650112177da0e4e4ebad4d0329fea805a2f3c81fb6818f54ea

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

source=pdf_text observed=2026-08-15T18:05:58.405597Z digest=sha256:9a6de50f4856e28b3a0a82f93bcccae8ffc5ef72816700c91191f4ea177625ba

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

source=pdf_text observed=2026-08-15T18:05:58.407843Z digest=sha256:9d49c35ae94991d510813f7656c5d5b741d2dce3ed8670ce4505bf33cb7783fd

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

source=pdf_text observed=2026-08-15T18:05:58.410193Z digest=sha256:e96cd563a131380671596b0234b501a049229ed6621f2c7200f99395c3d14cd1

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

source=pdf_text observed=2026-08-15T18:05:58.412718Z digest=sha256:8ad9097247f4c0f9ffb9a8aaee297ce30cc561d920eec58877cc190eed97871b

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

source=pdf_text observed=2026-08-15T18:05:58.415657Z digest=sha256:c19d2a255195a1fd2a13ace95f78ee29977a399d866babbc004623b373cc92e5

Pith citing papers

No inbound Pith citation observations are available.