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Paper Citation Record · LEDGER

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning

As of 14 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2412.08293.

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

pith.paper-citation-record.v1
2412.08293 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:04:01.765007Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

56 of 56 outbound references displayed

  • verified exact7
  • verified fuzzy10
  • unresolved25
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch10

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f70b23e8-3186-4bc3-81a4-0d518bae1f16 · outbound

This paper cites P´ erez-Lombard, J.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning P´ erez-Lombard, J

Reference 1

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verified exact
doi, observed 2026-08-11T18:04:01.998242Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c2a17b50-5e81-42af-9720-ecdd548cb7dc · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-11T18:04:01.506552Z digest=sha256:64e31448f22a7252c2bb3ff7d9372d0f2cb008c0ff053f39b2abab9b8a83fdce

Observation 48acad1c-6b5e-4a71-a7b3-8aa8969707f6 · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.512154Z digest=sha256:73eacfdcdbc84969731a08fa5934760ef670835c95624424d1aa086d1c28a764

Observation 66fe4074-e5ca-4ca2-b362-d6a941721b90 · outbound

This paper cites Gholamzadehmir, C.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Gholamzadehmir, C

Reference 4

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source=pdf_text observed=2026-08-11T18:04:01.517846Z digest=sha256:00e0a0e226786c2e21cddafe50258db5de23613bb672414b1deb86d1a65d5ca9

Observation e3d5b105-7b27-4163-881d-9a75275ed2db · outbound

This paper cites Rolnick, P.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Rolnick, P

Reference 5

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source=pdf_text observed=2026-08-11T18:04:01.523816Z digest=sha256:6dcfa75bda6b0bc71e725ad1a96ba8761b76bfe84a40c489f25b2b61b66281f3

Observation c164704c-b28e-42ee-9daa-e5f1cd87e3e6 · outbound

This paper cites Findeis, F.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Findeis, F

Reference 6

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no resolver link, observed 2026-08-11T18:04:01.529163Z

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source=pdf_text observed=2026-08-11T18:04:01.529163Z digest=sha256:f0bf99429619bab675888e396a8eafaec31ae0337fa9ba85123d16e1f1bb2bfa

Observation eb77de42-68dc-4b49-ad76-fa7f9cf72e00 · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-11T18:04:01.534820Z digest=sha256:a1175117809c35b6adc7710815add975a363dbbddf3ca203826369bee9fc48e4

Observation 39dbb395-3cac-4c48-867b-5161c344c633 · outbound

This paper cites Sutton, A.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Sutton, A

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.539887Z digest=sha256:060406dfa11c2aca6a6c5f5d01f57ea25cc0cfa4c18a66324149f8c56ecff6b8

Observation 51e41244-7619-49f0-89a0-88988c7839d3 · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-11T18:04:01.544594Z digest=sha256:30fc288f2146e1bfe1d76be3a6d81823d970ccedbb36ba1ddbd897c527325021

Observation 2aeaf028-92c4-4b5b-a3d0-f5d7b74540a4 · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-11T18:04:01.549269Z digest=sha256:3f958259abcd67f8f24e3846c9ec7232c407efad84aea9af1beeb6ab95bcdb62

Observation 9f85ef4a-7f43-4258-8ea9-96466605989d · outbound

This paper cites Mason, S.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Mason, S

Reference 11

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source=pdf_text observed=2026-08-11T18:04:01.554653Z digest=sha256:b5faa6856def093e67dfd129260fc6040c72f4327b2e8215d1ec4aa052579a51

Observation 044ac111-6d0a-470b-89a3-b84c70af0f28 · outbound

This paper cites Zhang, X.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Zhang, X

Reference 12

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source=pdf_text observed=2026-08-11T18:04:01.560748Z digest=sha256:d772df9e9ec46bc714526a5bc8b09209e0912e46f7628d27ba2495c4cbebc9be

Observation 1c36e0c1-5ef3-4908-a020-736e9d4d00b7 · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-11T18:04:01.565811Z digest=sha256:bdc0589ee0121d9b09b820368ddc45245839956c5c50d0ebf71f7f4eada87144

Observation a3814d2c-121e-4ec5-b29f-cd08fad32433 · outbound

This paper cites Brandi, M.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Brandi, M

Reference 14

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source=pdf_text observed=2026-08-11T18:04:01.571873Z digest=sha256:6fe8322190c4f7b852e806aa543f91f0f0aae6156d35d565b4ae7e49d522a4e5

Observation 0c49a7b7-2a7e-48f6-a193-0cdfba83bd33 · outbound

This paper cites Azuatalam, W.-L.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Azuatalam, W.-L

Reference 15

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source=pdf_text observed=2026-08-11T18:04:01.578851Z digest=sha256:cd10b619e3aeb7790b76fc59e34f5aeccc0c77a011b04922335a04431fc434ef

Observation 08deec09-5367-4a87-a9e8-2f67a013026c · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-11T18:04:01.583236Z digest=sha256:79661ffcc7897cb218b79df3f551179351692d0113576cc90e183b39f7119e11

Observation 0751dd0c-7ee3-48f9-93eb-2d58c40686fd · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-11T18:04:01.587151Z digest=sha256:9625432eb257adfc4ebaabc76dd7cc3a4e03712fcec2f4ecb15b91e6c38de9f7

Observation 682b602a-9ec1-4347-a73c-ae711cc2156d · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-11T18:04:01.591094Z digest=sha256:fc8337f393e1d1e5275481138da93221587e48942db40e4985153ac04b90287f

Observation 57d45726-0b64-45a1-b94a-4862ddc2b6d3 · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-11T18:04:01.594975Z digest=sha256:9428f41425f34c39d747957d1e169d492db25dffb6218994053ab9db8a62d5c2

Observation a7111a96-74c8-48dd-a333-f28ba056a220 · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation cd74a12f-06a1-43e6-b00b-8033a6954470 · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-11T18:04:01.603067Z digest=sha256:704a59e98cf6084d3cea34911f89dff5410c7351a162a9d2ff37d3c7a4ee23ca

Observation 0969362c-fbd1-4564-b745-73f851e60a17 · outbound

This paper cites A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control

Reference 22

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local_arxiv, observed 2026-08-11T18:04:01.938813Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.606900Z digest=sha256:57fc2f483200ea4b2285f444a7060a9e31d1359f2e64cc5459789b051405a9a0

Observation 245cef8f-a57d-48c4-a3d3-347f7ee0fe82 · outbound

This paper cites Manjavacas, A.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Manjavacas, A

Reference 23

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source=pdf_text observed=2026-08-11T18:04:01.611657Z digest=sha256:e36c8da07eef7e04e95138f79db2ddd966bfaec16853198ee3dcc4c6927405c5

Observation 6d337f37-4007-43af-a537-8bcf92f4c9e8 · outbound

This paper cites Dmitrewski, M.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Dmitrewski, M

Reference 24

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Observation d0232b0b-8d6a-42d3-bf04-6f98b9ce8b31 · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-11T18:04:01.625174Z digest=sha256:8f20bf6528f1f613ec5ebc1501dc9a2f7b2857c5bf8edd3cc5d5dae91d0c6e35

Observation 2bd6413f-a815-49ed-a811-5a8b49462182 · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-11T18:04:01.629923Z digest=sha256:6601acc7c7d1e33c0c9f75ecaf8def075d179a5be06def91f06221ca78f63c9e

Observation 49cb7bbe-43af-4b46-9f86-ba3be438abd1 · outbound

This paper cites Jim´ enez-Raboso, A.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Jim´ enez-Raboso, A

Reference 28

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source=pdf_text observed=2026-08-11T18:04:01.634584Z digest=sha256:c8f90eeb372a55151d5575dc91bb7c8aff7cebb9141029deba8f475f089ad406

Observation db317e0b-96d8-47ba-857b-9ff4ff3c4566 · outbound

This paper cites Employing Federated Learning for Training Autonomous HVAC Systems.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Employing Federated Learning for Training Autonomous HVAC Systems

Reference 29

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local_arxiv, observed 2026-08-11T18:04:03.298640Z

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source=pdf_text observed=2026-08-11T18:04:01.639476Z digest=sha256:d5bd2df148ea1038e37377b7c26160f3c96f15adfbd8ea9042a7084d9788638e

Observation db0b6b47-16d5-4ddb-bf3a-5f795d586b65 · outbound

This paper cites W¨ olfle, S.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning W¨ olfle, S

Reference 30

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source=pdf_text observed=2026-08-11T18:04:01.644628Z digest=sha256:89b41f98d1a767a0797f5c371928db8c1c2c691f02e0f3246ab6d1164625c562

Observation a912ee43-0f96-4d6e-8f74-899a292b0f14 · outbound

This paper cites Jang, Active reinforcement learning for robust building control, Master’s thesis, EECS Department, University of California, Berkeley (May 2023).

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Jang, Active reinforcement learning for robust building control, Master’s thesis, EECS Department, University of California, Berkeley (May 2023)

Reference 31

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source=pdf_text observed=2026-08-11T18:04:01.649304Z digest=sha256:cd263fe28311e22e5ebba44e3395403060ff1f3e2cd2b498b0f3aaa3775df8f9

Observation c225549e-fe2d-48a8-b73b-bc5cffc5601c · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 32

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source=pdf_text observed=2026-08-11T18:04:01.653922Z digest=sha256:a9480ef37aa272340edbe587ed85bfc4dd2fe0e5f60ffed4c0664896b0a04b74

Observation 02823433-983e-4d77-9076-215567d1b3be · outbound

This paper cites OpenAI Gym.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning OpenAI Gym

Reference 33

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source=pdf_text observed=2026-08-11T18:04:01.658843Z digest=sha256:7ae6f9cbf5289d09eba49752f355e9daffbdff2e8c3e2e891c9db58d95b2c72e

Observation a42ed3be-8056-4181-bc4d-83a7a3687ddb · outbound

This paper cites Raffin, A.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Raffin, A

Reference 34

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source=pdf_text observed=2026-08-11T18:04:01.663937Z digest=sha256:4d8dc930f1097c57487fa4275bdf8b9a5c65078c2c7a83a1fedaf2c30b3b68eb

Observation 928da74c-b05d-45ef-ad32-5ca2b7fa6151 · outbound

This paper cites Liang, R.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Liang, R

Reference 35

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.668482Z digest=sha256:2d5f24a7ce9b7e0ebae0b65e7ef77f0a75541569979c4c2235ac4fda46138f23

Observation 78711e9d-73bb-4430-bcc2-b47d35215805 · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-11T18:04:01.672815Z digest=sha256:29323209bf44b56794791e618397d75c9df23e7969b0d83eb6c799630aebfba5

Observation c81f1f4c-3844-460e-8974-f0e729061957 · outbound

This paper cites Biemann, F.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Biemann, F

Reference 37

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source=pdf_text observed=2026-08-11T18:04:01.677375Z digest=sha256:f5e63fcd0ac4454a91dd3e8cba530881642face687f538df04252d64f16f5270

Observation f6d89433-f6c1-416a-b4a3-eb80fab622e5 · outbound

This paper cites Moriyama, G.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Moriyama, G

Reference 38

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doi, observed 2026-08-11T18:04:01.887258Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.681840Z digest=sha256:0cb7eb976a094915197833bbfde2d527072da489079450ce182c6078ce444d0a

Observation e644cb9b-fc37-4190-a394-1ddf7f27ff2a · outbound

This paper cites Arroyo, C.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Arroyo, C

Reference 39

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raw_fallback, observed 2026-08-11T18:04:05.619980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.686504Z digest=sha256:cc2ca4399d02cbbb4cb15b688c065d249ae6854d65316e732c797c3defc76b6e

Observation c896784a-ac1d-4a5d-ae69-b221989a6de9 · outbound

This paper cites Scharnhorst, B.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Scharnhorst, B

Reference 40

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verified exact
doi, observed 2026-08-11T18:04:01.872343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.690916Z digest=sha256:cb8f2a21976dfa7566e1d0e0a107f17588834395b4d2599c0617916effa61bcf

Observation 2589eb9c-08c3-4e9e-9caf-a498de4d2df6 · outbound

This paper cites Lukianykhin, T.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Lukianykhin, T

Reference 41

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T18:04:03.009281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.695650Z digest=sha256:9c14e5bf4ba727737ec7c6f5db89e1d9afe28345bb678595d8b333e3abc4cb34

Observation d18f7af8-0d89-48ed-9bc3-24de3fdd8246 · outbound

This paper cites W¨ olfle, A.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning W¨ olfle, A

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T18:04:01.699897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:04:01.699897Z digest=sha256:ffeeeae07e249809cf59d23bf79a44c5f8c831d076c02453bbe0e87d1b0d7cbe

Observation 91b1fab5-d641-4799-abb3-971c8b21e433 · outbound

This paper cites Zhang, O.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Zhang, O

Reference 43

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T18:04:02.848422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.704235Z digest=sha256:a3b8a50724e7dd2126b17f6fa6f16e11db01b4f7550c5279b7c9a1ae4183f04b

Observation f1c67c70-8de7-426c-a85e-8ca3523c3cbf · outbound

This paper cites Nweye, K.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Nweye, K

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T18:04:01.708247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:04:01.708247Z digest=sha256:424647f69413fbbfb70629dd369a5d75ff21de3102cc5bb5e86015d66c7378a2

Observation e9a99f6c-3320-45d8-9f63-1ee0e2d27350 · outbound

This paper cites GridLearn: Multiagent Reinforcement Learning for Grid-Aware Building Energy Management.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning GridLearn: Multiagent Reinforcement Learning for Grid-Aware Building Energy Management

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:04:01.856911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.712709Z digest=sha256:434b8bae26af4809c47199a03cb6f17c5107c5175ecee74fba4139556a50bada

Observation 9fa68357-7d23-4bc8-88f4-f06b381c3a31 · outbound

This paper cites Marot, B.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Marot, B

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:04:05.604068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.717723Z digest=sha256:a8cf55ec356c6f4ed7d826c9a450ebb3014d048a98aea4b21c35be24c6fd4f58

Observation 85b2353c-e5a8-4ff3-921d-2baec7c76d53 · outbound

This paper cites A Study on Overfitting in Deep Reinforcement Learning.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning A Study on Overfitting in Deep Reinforcement Learning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T18:04:01.722304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:04:01.722304Z digest=sha256:24f81ce5e84be877a012db423123f28dc8e6c4368df565effdd9f96d5da517a6

Observation 044db07b-e2c3-4bba-94f6-8452e31932e1 · outbound

This paper cites Pinto, D.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Pinto, D

Reference 48

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T18:04:02.688595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.726905Z digest=sha256:e9216c02ce34fd5e36f11ddfd8adccfbc5298c48cd1a8a936b572eda2203a7ce

Observation 9ee5d5a5-5457-4072-97c3-33dfcc8e8642 · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 49

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T18:04:02.285253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.730892Z digest=sha256:6bfd76b79869046865e32549f1e966f2d84aa69843b8dd1f3ba7ef4588e18428

Observation dde2db94-e37e-4259-8845-6abab6da531e · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T18:04:01.735023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:04:01.735023Z digest=sha256:9ad1d61b15efe0531958dc87e2c320126a0f7a614a0a655855a1092a99e8c248

Observation 6c676749-30e0-4388-a47a-c64cce816119 · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:04:05.587350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.738820Z digest=sha256:f303735a4da0741901be99f9c1255d34e5a5f8d88dd2cd11d2d6ec8d1b08aea0

Observation 10cc34f3-427f-464b-aab8-2774b06b6d19 · outbound

This paper cites Z´ arate-Mi˜ nano, M.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Z´ arate-Mi˜ nano, M

Reference 52

Resolution
verified exact
doi, observed 2026-08-11T18:04:01.819369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.742796Z digest=sha256:bbcccf86f1dd098cd1e961c83d449062c27495e41a6db0f9ac37ef7df7df1d44

Observation 0d7e418e-c7bf-4031-bfae-5e46ce36ca32 · outbound

This paper cites Biewald, Experiment tracking with weights and biases, software available from wandb.com (2020).

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Biewald, Experiment tracking with weights and biases, software available from wandb.com (2020)

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:04:05.572673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.747221Z digest=sha256:91f66818eee3670b7471205479812c5fecd9d7fad71e8df2e279c53459506588

Observation 49e9f151-aaf5-463a-9716-c07863277da4 · outbound

This paper cites Haarnoja, A.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Haarnoja, A

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:04:05.557125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.751175Z digest=sha256:b18632f25c0b26a09a8eb766097ef0fcbb56b5ead9ca0f554dfe9d12dc92f9e2

Observation 6e3f95c6-d845-49af-8f89-67f1c8a09b7f · outbound

This paper cites Fujimoto, H.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Fujimoto, H

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:04:05.542314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.755577Z digest=sha256:3c61b4813b4b091e10403a1be1ffa6de10608819740acdc5e49d3374d83ec30a

Observation 19ac0793-615c-439c-84b9-b0ddfd5a1039 · outbound

This paper cites Proximal Policy Optimization Algorithms.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T18:04:01.760236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:04:01.760236Z digest=sha256:e1b47a847c0780d4681e14938896843cc30ff3898fd598c16b640e2efd5caf23

Observation 5d33b49d-8adf-48e3-9b5f-c7194f4067c5 · outbound

This paper cites an unresolved cited work.

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:04:05.526840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:04:01.765007Z digest=sha256:52c6de60bc742d30f657b3dee6a29bbf32f7761d8a21cf5cf804c8709d4d8008

Pith citing papers

No inbound Pith citation observations are available.