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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 11 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.233565Z digest=sha256:1e5409759f5df5b8f03b33469bee61b786cd64c03555b2b494028fe9c367906c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.237875Z digest=sha256:6aa211f3d84cdb48108af4462686df0b0bd155513860df8577422e505631815a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.241652Z digest=sha256:54ac161ac2a297ec21934e323e6e87ce6304d30f974978340048149497ee76ba

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.245594Z digest=sha256:369c1dd19319544858757a5b3f62de80c0f711ca7accbbc309d7a643da9fb7a8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.249576Z digest=sha256:57bbb040e8a74b9db1e1da538c2d1f6376ce9011c4ea7f98edeff7bddad33009

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.253409Z digest=sha256:ccdaedebc043ddb1d37ebc9cfc4174badec1da0910b0a269e6cb2e67e5ca5eb8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.257532Z digest=sha256:6f48ae3079d4a628a1d843c285e9c0a0dfbcf480e76b42a0b4638c7e5427f044

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.261434Z digest=sha256:93a23afc67581f73aaaaefe8dc1a031a52f012d4a73ceec9a40cedadcaf37566

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.264858Z digest=sha256:15ba0979119e7f278a468d23cce734952f3027049c6df19801b5f7dc7d820acd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.268512Z digest=sha256:77d9b6aa860305a6138eadf63b6c49a24f4c6d65f96726def3b0fda1452ccafb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.272232Z digest=sha256:9588ee7afed7709f0c3bdcd1b370f4dc1325adca4de3ea4b25227fd959a89d9c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.275825Z digest=sha256:d60d7462d71b00f84c3e4639d51a61aba94b65c27e075571f2e6d119d3f1dc25

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:ff576f752e36ef2bcb57612d8bfaded11115d9aae65b6f052dc8575c29ccdedd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.283818Z digest=sha256:bee221cab92b342401bf290e06250994ce2530b2edbdcebd622532254d9e2c14

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.287362Z digest=sha256:755bcce0f0a29ce3b38fadc062a847d2112973710d2c248493b7227d0fe5475f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.291335Z digest=sha256:c76472f664a1c88198ebe83e7c2c34507f873a6367d5365817c83cf453ad2b59

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.294908Z digest=sha256:78c00988fdf0f4a5d2fc2111a5e07d0df4e1473c8c7977b5460bccb35f2a55ff

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.298584Z digest=sha256:67adba99c1b18690fb934afdd884d085e69d5d7f44f13e401e274f595dcef24e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.302234Z digest=sha256:77a3b342c1964cdc2f05ad89907332142ad41e734879c3a6e98dffe043495060

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.306145Z digest=sha256:f9fc7791f7eab985ffa32d093586b8c8977db3c86e144dd1da4866400d8df4ea

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.309692Z digest=sha256:e4f9afe4930716c318b3fe49a807562305f2e8ff01eb03f8e1104d32bb40b4ee

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.313459Z digest=sha256:ec8fa020e660551022652e15f087e0f8008e8b6919e059fd6cb99928305249f1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.316862Z digest=sha256:3614e6078cabccd9235c0ec2b4021e5a5d2ba793cb11835b0b19106a732907bb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.320484Z digest=sha256:8340aa4fade41662fdb0d05ed0da5131f9e0913f9c1210b703d223e8174471b5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.324028Z digest=sha256:3c71af4efe16a405ce74d81adf5c63caa033dc9e3ad7d8a38a8baa12c8a65be3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.327556Z digest=sha256:39116bcea691012eab7d04b2abf2ef3e431fa29870a94528b1c635820fc2cfff

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.330904Z digest=sha256:e205e91e0ef1b60e5eeb744033e18470b81c4fc9dc469401f576c85d58a4fcd3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.334666Z digest=sha256:eb714fbda4311eec3b1e2b5a32725c74cbd00a489daecd701ce57fac4059b837

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=sha256:3c1f658125ac1e5f47c262ad351ca6dad1ed4d802596eb07351552a6bb0a268b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.342279Z digest=sha256:91e0f75ba2925b637bdb31a5d4adae74dca5ce6310ab22d527130877509c07c9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.345810Z digest=sha256:95f6651ea0add9939ca8c00a94c6cba90280133ad83ca3b33cada98dcb99d5ea

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.349114Z digest=sha256:75f11442e8b7c2b00fcacdab89738ff6116f7e4245e334cae7d001290b937fd0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.352456Z digest=sha256:0db8543bdff5b8b05f1b81e6dfa52971c1343f0a617163d7fccd4cd80133ffc3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.355831Z digest=sha256:1500bea956ad606e5ad9f4a6e3d63e167e9dfddcef6c791fa2b7064b73bfcfff

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.359295Z digest=sha256:4b1a3764a641b068cef9793a3b22b4cbbadb5dc3df5aabeef1ea9a4206f5b093

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.363086Z digest=sha256:f9fd1781048f67d4f7e85e93714d9b3df6a83a350715fa4ec81fb0e4c6b7fb3e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.367235Z digest=sha256:065a6a642be205fc10ebadedbe0bd85675caa5729603cfc96d17c9d4b2609dd7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.371239Z digest=sha256:e6b8c497c412735bd30d6847b3255e69adab954a53aae836196c5361f69c4de7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T10:23:01.374835Z digest=sha256:608b8091575450851c31d9c9c35a83561458f1ade0125580779eee32a8481fd1

Pith citing papers

No inbound Pith citation observations are available.