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Paper Citation Record · LEDGER

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction

As of 21 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2501.04997.

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

pith.paper-citation-record.v1
2501.04997 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:23:46.079201Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:17:18.347097Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T15:17:18.388111Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 165dc73a-d44b-4366-b8ba-5b758f451285 · outbound

This paper cites Battery 2030: Resilient, sustainable, and circular,.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction Battery 2030: Resilient, sustainable, and circular,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:46.029894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:46.029894Z digest=sha256:f8a5ef46b04c43ba795b2c6d6ae4d38b864d9d9e273d3af27c135e4d8d4548e7

Observation c7557a6b-e65d-40f3-8c5a-dae8d247120a · outbound

This paper cites Development and evaluation of an advanced battery management system (bms) for lithium- ion batteries in renewable energy applications,.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction Development and evaluation of an advanced battery management system (bms) for lithium- ion batteries in renewable energy applications,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:46.476513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:23:46.034616Z digest=sha256:b29de3652434bf283593ecc46ed45b0af5a6359de7a52f5e19b31bc6a76c4294

Observation 9409a0dc-f914-4e71-8a71-720537e6e582 · outbound

This paper cites Advances in batteries, battery modeling, battery management system, battery ther- mal management, soc, soh, and charge/discharge characteristics in ev applications,.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction Advances in batteries, battery modeling, battery management system, battery ther- mal management, soc, soh, and charge/discharge characteristics in ev applications,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:46.465624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:23:46.039428Z digest=sha256:60b2de4947de3113168c2df28ed482e7e29ca72bd4f2965a28de6ff1b6f8e09f

Observation 622bc6ad-3ecf-436e-906b-a36d611b8f2c · outbound

This paper cites A novel approach to reconstruct open circuit voltage for state of charge estimation of lithium ion batteries in electric vehicles,.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction A novel approach to reconstruct open circuit voltage for state of charge estimation of lithium ion batteries in electric vehicles,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:46.453019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:23:46.043116Z digest=sha256:8aeefa31c911040b3fb2b7b872a879e459eddb46e55cd2626a68f713d8ba5218

Observation f2957da8-fe6b-412d-8565-fb606c3566ed · outbound

This paper cites Lithium-ion battery state-of-charge estimation based on an improved coulomb-counting algorithm and uncertainty evaluation,.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction Lithium-ion battery state-of-charge estimation based on an improved coulomb-counting algorithm and uncertainty evaluation,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:46.441822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:23:46.047912Z digest=sha256:f7994b09f351d879391adacb4056b685847aa15854b49bb39b92f1b8547455c2

Observation edfd89f2-4702-40b6-8b5a-880bab3ce3d6 · outbound

This paper cites Estimating battery state of charge using recurrent and non-recurrent neural networks,.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction Estimating battery state of charge using recurrent and non-recurrent neural networks,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:46.430884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:23:46.052173Z digest=sha256:9515a5b3d7738d34b2df8f876a83f67498fe03690313197ff9f05a9f3ef4fda4

Observation 07ffb201-34cb-49e4-8a7b-6848531beed5 · outbound

This paper cites A survey of transformers,.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction A survey of transformers,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:46.416355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:23:46.056654Z digest=sha256:0597706b727e63ddf459e0296e7acb51aefa79581433e27f111b27bda8051e08

Observation 3ed94928-f28d-487d-ad06-9224c1197945 · outbound

This paper cites Ttsnet: State-of-charge estimation of li-ion battery in electrical vehicles with temporal transformer-based sequence network,.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction Ttsnet: State-of-charge estimation of li-ion battery in electrical vehicles with temporal transformer-based sequence network,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:46.189785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:23:46.060589Z digest=sha256:437945575bfd446439f73cf601ebddc9cd87d954e584281be8012b39477f305b

Observation 7581abd1-784e-412b-9e03-bcca17dea654 · outbound

This paper cites Combined cnn-lstm network for state-of-charge estimation of lithium-ion batteries,.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction Combined cnn-lstm network for state-of-charge estimation of lithium-ion batteries,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:46.173407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:23:46.063770Z digest=sha256:ffeab03a9e3e6f4d42faf445c6becc1adaff6268527f8956aa39145fa9546d4f

Observation 6e0cd09f-a7af-45ab-b426-a976bb2a8c11 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:46.066549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:46.066549Z digest=sha256:aac03cebf477d360861152ad4ef52408c744fbfa7e0408a38cee37f8d85d75b4

Observation dc75cba6-890b-4708-8162-84301760990d · outbound

This paper cites Informer: Beyond efficient trans- former for long sequence time-series forecasting,.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction Informer: Beyond efficient trans- former for long sequence time-series forecasting,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:46.161070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:23:46.069592Z digest=sha256:5a86741a59b1362a0adf4d2be04dff1b4e14b48b2d8a157a8c58f3dede24a054

Observation 14282aef-762c-43f4-a1f7-8e8ccc4d3cc3 · outbound

This paper cites Panasonic 18650PF li-ion battery data,.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction Panasonic 18650PF li-ion battery data,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:46.072411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:46.072411Z digest=sha256:83edd781969cea5d621cf8b672454ab80c3120858c37eab5a3d2ece62ff86938

Observation 80143e5f-05d4-4512-928a-8e80aa27c4a5 · outbound

This paper cites Practical battery health monitoring using uncertainty-aware bayesian neural network,.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction Practical battery health monitoring using uncertainty-aware bayesian neural network,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:23:46.148767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:23:46.075712Z digest=sha256:bd647af4c53fbf22b21da612589f84c0d5d2716b86b25fab7bf39690c329d26c

Observation c17d4595-a6e4-4511-97e2-42bb9707d8a8 · outbound

This paper cites Nutrition Estimation for Dietary Management: A Transformer Approach with Depth Sensing.

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction Nutrition Estimation for Dietary Management: A Transformer Approach with Depth Sensing

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:23:46.121492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:23:46.079201Z digest=sha256:5bd567af2d36234b3e65f89144d6a3c31ddb219d2fb815774f796d68b4070084

Pith citing papers

Observation d8612227-ec38-4a5f-a32a-0f0d094b1e38 · inbound

Optimal Signal Decomposition-based Multi-Stage Learning for Battery Health Estimation cites this paper.

Optimal Signal Decomposition-based Multi-Stage Learning for Battery Health Estimation GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:17:18.395968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:17:18.347097Z digest=sha256:3eee3c1ae7366911b0932b28cfb7c468db751a86dc502ed09d46d2d52d6c34c8