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Paper Citation Record · LEDGER

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification

As of 15 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2509.04288.

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

pith.paper-citation-record.v1
2509.04288 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:23:01.374835Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy25
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac284036-55d0-4b3d-9321-077854f94913 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-05T10:23:01.890108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.233565Z digest=sha256:b41e00b7e422c48afa149a622d94494c49ab738d18fb1c79afdc29873116414d

Observation 23dca7f3-5ce9-4ce2-8b8f-48bb07517c93 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-05T10:23:01.877778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.237875Z digest=sha256:d7e82e3c3e227176fc8c8b0a01aa0f63daadde4ca20ed041413d801853873342

Observation 36941c71-d407-4403-b835-659e3bddf00b · outbound

This paper cites Barré, B.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Barré, B

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.865419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.241652Z digest=sha256:fba4b8f90f3ef75c3043fa3de72886fa0fef0aa9768aecd9c046f0f263790c09

Observation 79ce084f-0cca-4a15-94aa-e66aaedc2fc9 · outbound

This paper cites Darling, J.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Darling, J

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.854698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.245594Z digest=sha256:b0dcd00363d7175efd3831f5512298e3258754da477097071257cd259bbc2441

Observation e512ff7c-9348-4810-a908-ccf918ec7e64 · outbound

This paper cites Khalik, H.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Khalik, H

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.844006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.249576Z digest=sha256:db67cf4e1a1c3fb7babbba2ab35746dc9900cfa02fa7fbe1939f75284770fdcb

Observation f8a5ef74-8d1d-4f62-bab5-7116e9203d07 · outbound

This paper cites Khalik, H.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Khalik, H

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.830119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.253409Z digest=sha256:b1b972275791d5f131518216e1ff40faa3e00e4e670a1bf8fb26af579bdbc9a5

Observation 6bb49e0c-5e59-444c-ab6f-8d930293fb3d · outbound

This paper cites Khalik, Modeling and Optimal Control for Aging-Aware Charging of Batteries, PhD Thesis (research TU/e / graduation TU/e), Eindhoven University of Technology, Eindhoven (Nov.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Khalik, Modeling and Optimal Control for Aging-Aware Charging of Batteries, PhD Thesis (research TU/e / graduation TU/e), Eindhoven University of Technology, Eindhoven (Nov

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.817078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.257532Z digest=sha256:743a78b2a11674373cf6ce550ed878d8b5f81e985250ea7e364e557585c4cd15

Observation 3eecb92b-a3e7-4d28-92c2-5802e6e813d7 · outbound

This paper cites Kolluri, S.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Kolluri, S

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.804487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.261434Z digest=sha256:62e3fc56631fcf9317b59fe7069f7604b04b0997589edcad12fd04b94b7e4a1d

Observation aee23bb6-7f3e-492e-83ef-23fe7a0845b3 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-05T10:23:01.793401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.264858Z digest=sha256:dfde15776eaedbb929e4f723257566c9c4a1503e2c7f0cd9f29141d82c3a752c

Observation 40dca00f-aa5a-46b7-994c-74505a868464 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-05T10:23:01.781194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.268512Z digest=sha256:32467f1658fad408c91a3aa898bb3f4fbfb11e1c4bc33eed2d6fc8e212648c6e

Observation 2a9680b4-3682-4b09-99a8-5495f7baf50f · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-05T10:23:01.768830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.272232Z digest=sha256:ffeb4f81af82055d712c2fff44dfae1ada5519dc08da0390672ef3a8370c0433

Observation 33daf551-5b73-4395-b94e-b3e5ca0d93bd · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-05T10:23:01.755706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.275825Z digest=sha256:1b16ad827f03c3e2498f53c76a17c4379e5c59b02a0d779e7838ba79c2664dad

Observation 04259ce2-d329-4a10-bece-a72677b41a2f · outbound

This paper cites Data-driven Abstractions for Verification of Deterministic Systems.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Data-driven Abstractions for Verification of Deterministic Systems

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T10:23:01.279602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:23:01.279602Z digest=sha256:d907d8853eea1f148e75db82520f48de101118e39785ea66f631c3f19c0b55fa

Observation 9360cc37-ced4-46c8-b369-e1a2626e8fd6 · outbound

This paper cites Coppola, A.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Coppola, A

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.739890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.283818Z digest=sha256:a611b208ce251dec16ea8d1319aefb7645884f87b2e87cd7e0393f1a22c63e4e

Observation 3a37b251-03fb-4d94-83b7-5cc241a43320 · outbound

This paper cites Data-Driven Abstractions for Control Systems via Random Exploration.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Data-Driven Abstractions for Control Systems via Random Exploration

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-05T10:23:01.416315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.287362Z digest=sha256:3ea1cde35f6fbef70ef46781e05df97684eaa74d459e69c97a8ac7144e7ff455

Observation dbf912f6-260e-4853-8ab2-40adc8540602 · outbound

This paper cites Abate, C.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Abate, C

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.725714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.291335Z digest=sha256:b8dd0102fa4877e8d16b4949102c6f91e51589c428fe4da5e1c2458f8a5e695c

Observation 8d451e44-20bc-49fd-ba77-8082ffd84495 · outbound

This paper cites Ravanbakhsh, S.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Ravanbakhsh, S

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.711556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.294908Z digest=sha256:63e1a75568c2f9fc3907d9ba1d680fcb8ad54bc4c069dfbc045accf201f5f53b

Observation 2df74e0f-ec8e-484b-8676-9ae30cb8f47b · outbound

This paper cites Ahmed, A.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Ahmed, A

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.698822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.298584Z digest=sha256:51369ab0a0b0774d748b011c04a334859a896a8be095416aa6fcff7feaff63d2

Observation 4a89b7e8-10d1-424f-a8cd-20040461d5b8 · outbound

This paper cites Tabuada, Verification and Control of Hybrid Systems: A Symbolic Approach, Springer Science & Business Media, 2009.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Tabuada, Verification and Control of Hybrid Systems: A Symbolic Approach, Springer Science & Business Media, 2009

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.687176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.302234Z digest=sha256:55a79a08f5c1a0ca819dd441773ba72061e7a83ad91e9c1f232fe9f2fc5949f6

Observation 50f4281f-25df-4c40-b3a1-5d7ce5cdffa4 · outbound

This paper cites Schmuck, J.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Schmuck, J

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.674997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.306145Z digest=sha256:bd81066f3f02c8e7740d1d4d86631158ba7035d7bad84e2733a29b813a3074bd

Observation 99a820e9-162f-486d-aa8a-65d17495b3bc · outbound

This paper cites Garatti, M.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Garatti, M

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.662162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.309692Z digest=sha256:d1576db21a4970c10bbd900a12e7edaf088275f7b63fc54104c3ce5aba531740

Observation bc75e15d-7bf8-4d64-a566-aacc065c08e5 · outbound

This paper cites Doyle, T.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Doyle, T

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.647359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.313459Z digest=sha256:757dc08d4c9de3549fa6ab03c83ce6d2f815fe47c0415a89f934c7c690374b71

Observation 1773885a-7ea2-4282-bd6c-58ea9b64c59f · outbound

This paper cites Brosa Planella, W.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Brosa Planella, W

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.633796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.316862Z digest=sha256:559f1e19cae15f652b9e29d8fa5c693d01b20a5c979f00003a68df9a4ce3a540

Observation 60be0c40-4171-4a41-a3f1-38983a23d9af · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-05T10:23:01.619868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.320484Z digest=sha256:b07fd02a46a3b30555f603a1409e70d3d4017b1778fdcd2d6195ccf58c65a215

Observation ae9b167f-cd13-443d-968b-92347297c5ab · outbound

This paper cites Nyman, M.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Nyman, M

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.606338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.324028Z digest=sha256:36db19602147722dd105df142b82f52cc62ca6d97919546eeff4ae41ac4dfa6f

Observation 13c9b683-3eef-49ee-9e46-27f43c953e41 · outbound

This paper cites O’Regan, F.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification O’Regan, F

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.592459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.327556Z digest=sha256:1767a37eee515b0fb39eb5d3de7e56789521423d517eef204d6c20144885fd55

Observation c4ab1c29-464e-4239-b720-3c60c4c387d1 · outbound

This paper cites Ramadass, B.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Ramadass, B

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.578866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.330904Z digest=sha256:5920ab83e0cf73b04f88674c2a0b55ae5adbb7cc00291b03cc9d4684e5831dbd

Observation 33e960c2-b145-4e14-876b-a8dd31ab3dea · outbound

This paper cites Sulzer, S.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Sulzer, S

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.566903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.334666Z digest=sha256:eb8e27357e54a2b2038f4c619e0250a27c5435574f135cc0900673e198a11563

Observation 1c41c164-8b5a-4e7b-a18f-e8478d23c161 · outbound

This paper cites Haarnoja, A.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Haarnoja, A

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T10:23:01.338700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:23:01.338700Z digest=sha256:7488550f7b06c0d73baea9deaf5fd35cb94d82897eb01586dcae2a165c541ae7

Observation defbc4d7-d441-473f-b2e9-b64b4fc7ab02 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-05T10:23:01.547506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.342279Z digest=sha256:feab114666a8b4404fe53ea073b3808c4bfb72cdecf5c8f1e3637277b9312cd9

Observation 064af6cc-9a5c-4593-9dcc-8636bbcbde57 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-05T10:23:01.536372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.345810Z digest=sha256:1d7eba5b932dfe7d9aa4906957c67046fb7a65f1c079ac89bac4c7a71666b1a7

Observation ebdf70c0-a1c3-4b72-8f49-44432c1641c7 · outbound

This paper cites Reijsbergen, P.-T.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Reijsbergen, P.-T

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.526086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.349114Z digest=sha256:eebd964b854330bd1293aa6709a53c546f1085394079d1a798a83aae8058c7e7

Observation 462cab20-1d61-45d6-8eed-bc93498da171 · outbound

This paper cites Karanth, M.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Karanth, M

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.513927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.352456Z digest=sha256:9153431105aaa8e81b9fb13cd85b641d5e3ba2f2a7e98bf48b1e75d731bdaaaf

Observation 37f12eba-8d68-4a54-a13d-2975f006ced8 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-05T10:23:01.502055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.355831Z digest=sha256:f556af0af60ef7054e88ba049dd2c573b13ba31689c25c00936a5d7a3f61eaaa

Observation b95027f5-98b1-4e39-a7df-61765b2c04ff · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-05T10:23:01.490371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.359295Z digest=sha256:2c9951e4be21dc4834b5721caf4e9dca00c989117662a8167fe3da8f67357454

Observation 6de6a5e7-b8a4-43c1-97d7-b707aae68256 · outbound

This paper cites Ombrini, Q.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Ombrini, Q

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.478393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.363086Z digest=sha256:98f8e0340f13f1c96f1e34e71a203482ced43c84e3f6f1c21ce54c1582b96f48

Observation 1b130585-7bd3-4ce6-951d-9b6fe288034e · outbound

This paper cites Ombrini, M.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Ombrini, M

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.466566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.367235Z digest=sha256:03f0e7c0e19ebc9ffa2ae2dd597b3814e0593e2cae55d1c7f0731282c0b85699

Observation cb0e3cc8-bbd9-4948-8021-f78cc5574f91 · outbound

This paper cites Karger, S.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Karger, S

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.454544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.371239Z digest=sha256:5cc7132b6609f7eeebe686ed5aae3b05470f32ace351eefcd0708f65e1f84d15

Observation 5bc6cc7b-06ae-4555-af73-997e36d384ea · outbound

This paper cites Sulzer, S.

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification Sulzer, S

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:23:01.442717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:23:01.374835Z digest=sha256:cbea2d9c9e6318975894d2628dc84c0c404647e6b4c205934fe2821528e1d9d8

Pith citing papers

No inbound Pith citation observations are available.