Paper Citation Record · LEDGER

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation

As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.14640.

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

pith.paper-citation-record.v1
2607.14640 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:35:23.127679Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df50b4ca-4199-453b-accb-ac281965cf86 · outbound

This paper cites Iea global ev outlook 2025,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Iea global ev outlook 2025,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:20.863619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcf5a118-88b0-47d3-8fad-52df6602e88c · outbound

This paper cites Battery management strategies: An essential review for battery state of health monitoring techniques,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Battery management strategies: An essential review for battery state of health monitoring techniques,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:20.950098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c884c0-8586-43ec-8dbd-5e5eafa4d526 · outbound

This paper cites Knowdiff: Knowledge-regulated dual-stream diffusion for robust battery prognostics,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Knowdiff: Knowledge-regulated dual-stream diffusion for robust battery prognostics,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:21.104403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec94db71-66cb-47fb-b031-87f7011db18b · outbound

This paper cites Critical review of state of health estimation methods of li-ion batteries for real applications,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Critical review of state of health estimation methods of li-ion batteries for real applications,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:21.232695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b75275f5-49c9-44a2-94e2-93149614fa46 · outbound

This paper cites Dgat: Dynamic graph attention- transformer network for battery state of health multi-step prediction,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Dgat: Dynamic graph attention- transformer network for battery state of health multi-step prediction,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:21.360326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d3b636d-122d-403c-a615-f7f7bbbbf7fa · outbound

This paper cites Convolutional transformer-based multiview in- formation perception framework for lithium-ion battery state-of-health estimation,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Convolutional transformer-based multiview in- formation perception framework for lithium-ion battery state-of-health estimation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:21.527811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7222ae3c-c8a2-49f5-9f75-dfd62ccb3e50 · outbound

This paper cites Graph neural network-based lithium- ion battery state of health estimation using partial discharging curve,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Graph neural network-based lithium- ion battery state of health estimation using partial discharging curve,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:21.658607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfd62172-0844-4e52-87e2-a00acf463484 · outbound

This paper cites Data-based health indicator extraction for battery soh estimation via deep learning,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Data-based health indicator extraction for battery soh estimation via deep learning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:21.778550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ce890ae-f7a8-4d79-bb67-78ce32cc70a7 · outbound

This paper cites Knowledge-aware modeling with frequency adaptive learning for battery health prognostics,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Knowledge-aware modeling with frequency adaptive learning for battery health prognostics,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:21.881060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c27a33c5-1480-4d53-ad09-79e8bbf04ae6 · outbound

This paper cites Physics-informed machine learning for battery degradation diagnostics: A comparison of state-of-the-art methods,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Physics-informed machine learning for battery degradation diagnostics: A comparison of state-of-the-art methods,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:21.993569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70a7d039-7928-462a-bdf6-ee82c140a10c · outbound

This paper cites Physical knowledge guided state of health estimation of lithium-ion battery with limited segment data,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Physical knowledge guided state of health estimation of lithium-ion battery with limited segment data,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:22.127497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8da83b9c-86a7-4f4c-97a4-73380d4bb109 · outbound

This paper cites When smaller wins: Dual-stage distillation and pareto-guided compression of liquid neural networks for edge battery prognostics,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation When smaller wins: Dual-stage distillation and pareto-guided compression of liquid neural networks for edge battery prognostics,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:22.230274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40b9e3c5-2814-476a-85c1-eee7319f9d27 · outbound

This paper cites Data-driven lithium-ion battery soh prediction: A novel shmm-transformer-bigru hybrid neural network method,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Data-driven lithium-ion battery soh prediction: A novel shmm-transformer-bigru hybrid neural network method,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:22.355968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e5b1fb6-5a6c-48ec-b076-1d4a3310d7d7 · outbound

This paper cites Kolmogorov-arnold networks meet science,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Kolmogorov-arnold networks meet science,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:22.526140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b9ef4d4-6ea7-4dc9-9b6e-da2419454908 · outbound

This paper cites Discovering symbolic mod- els from deep learning with inductive biases,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Discovering symbolic mod- els from deep learning with inductive biases,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:22.666703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f6de2a8-1667-4b6d-8c95-a462a8b3dcd7 · outbound

This paper cites Data-driven prediction of battery cycle life before capacity degradation,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Data-driven prediction of battery cycle life before capacity degradation,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:22.858087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 405ff48e-efe8-4ffd-80cc-3721346cefab · outbound

This paper cites Prediction of state- of-health and remaining-useful-life of battery based on hybrid neural network model,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Prediction of state- of-health and remaining-useful-life of battery based on hybrid neural network model,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:22.993002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb09f300-ccc5-40e0-a88f-2019ce8f81ff · outbound

This paper cites Kan: Kolmogorov–arnold networks,.

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation Kan: Kolmogorov–arnold networks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:23.127679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.