Pith. sign in

Paper Citation Record · LEDGER

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2512.12816.

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

pith.paper-citation-record.v1
2512.12816 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:43:21.853977Z

measured 43 of 43 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 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

43 of 43 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved37
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ab78228-2022-45ab-8a38-85b37324d4d9 · outbound

This paper cites Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:17.645368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:17.645368Z digest=sha256:19a33e641f9784994f28a5ba53708fe96070d9e14e7d43f959a51e830486e1ea

Observation 769b1747-a79f-4f83-99c0-f24236b11eaf · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:17.712760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:17.712760Z digest=sha256:81cc7d791a4546e6efc00214b53f97f78baac12a23510317f0fd892608135d4c

Observation b1883871-7a3c-4915-9f01-df596d488b3a · outbound

This paper cites Barlow and Frank Proschan.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Barlow and Frank Proschan

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:17.769859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:17.769859Z digest=sha256:75e22329d24883162b5f3f0993463d28cdcfe51ea0247459d4e20011d3ee97ab

Observation 38644e4d-a389-4735-9275-ad0a0b3be577 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 4

Resolution
verified exact
doi, observed 2026-08-03T16:49:49.710670Z

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=2026-08-03T16:43:17.829477Z digest=sha256:8ffb0482ea7fb9b4fa3d25e8d08a0d9be8752ca093a2c1da5f91f5fcdc76ce87

Observation d5e04f85-297a-411a-b33d-c409824f8428 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:17.890671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:17.890671Z digest=sha256:fdcef4bac7025b1c9b72e739edb11c43c5ecc2c4bd249dd9d94fe37b8839b6fc

Observation 6a2ad81d-df56-40fc-a650-daff29612d31 · outbound

This paper cites Budka and B.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Budka and B

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:17.929863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:17.929863Z digest=sha256:4de6656bf6e51182fc06577c919f8c40bb79e832584d0623266e2b580346c0d2

Observation df06eaa7-8e5b-4e5e-89d0-4b0c87bfd2e7 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:17.988980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:17.988980Z digest=sha256:1ff96173fcf1d284209c9756911478f2844e5fe9997ace4cf422b725a0a7f1cd

Observation fdd6272f-55f2-44a0-b60c-7fa06b0ef92b · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:18.033181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:18.033181Z digest=sha256:9d184476b28f1580972e486717acd66eca1377d322088737e3a6cf5639218426

Observation 4ea74f42-d73d-4895-b6db-467619387fe5 · outbound

This paper cites The rising costs of training frontier AI models.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift The rising costs of training frontier AI models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:18.093746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:18.093746Z digest=sha256:270dec7344ddf872023f3608ead3ac4b376beeaeaf92744efb00a22106b03f18

Observation 88db599b-38f8-4af8-a00e-37f0d77bb793 · outbound

This paper cites Domhan, J.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Domhan, J

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:18.176939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:18.176939Z digest=sha256:14bf6947b8f7596ba7731aad35be7526c6b96bedf84733c1b495f3302281a0eb

Observation d179204a-8d6f-4774-a667-d71f2bc3c9ff · outbound

This paper cites Gallager.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Gallager

Reference 11

Resolution
verified exact
doi, observed 2026-08-03T16:49:49.606070Z

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=2026-08-03T16:43:18.235083Z digest=sha256:8c626d2910d8fee1ff64133dd0df2efa77c02b4e1caf28b6a4cdcfebeb2324dc

Observation 36832055-c51c-4406-9443-f5c8e1151249 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:18.281179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:18.281179Z digest=sha256:682598f2d121a13170c70be7c600448d20aad085382809b6ed5e5a528807d9eb

Observation aab4bd97-9389-4c71-bf80-3ffe777866e6 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 13

Resolution
verified exact
doi, observed 2026-08-03T16:49:49.502187Z

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=2026-08-03T16:43:18.406587Z digest=sha256:7a208e7eeb80475bc42af348dfcdb42070f6ad06189975ecdce69d009c17de3c

Observation 52e86971-e036-46e4-813a-32c01db3b1d8 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:18.572548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:18.572548Z digest=sha256:47d9483c46010c19262a80e59eb73b95c37ac2dca309a92e5b5fef2b92f1269a

Observation efa4ffec-a527-41c9-8019-fbbb141ef6b9 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Training Compute-Optimal Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:18.732750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:18.732750Z digest=sha256:c87687e4d13ae9dcbdf8fe6263bfc52781df9fc7d97e6c74d9ebe870f19cfa5c

Observation d295dcb7-0d27-4024-a2ba-b35486990619 · outbound

This paper cites Context-Aware Adaptive Sampling for Intelligent Data Acquisition Systems Using DQN.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Context-Aware Adaptive Sampling for Intelligent Data Acquisition Systems Using DQN

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:18.862172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:18.862172Z digest=sha256:1c0a6fb61abf5d7c02464826970b50837d8ce21c4ae14443acbb2cfdd7f196e0

Observation 9eb03ef9-0d72-4d90-b06a-e2cd84393620 · outbound

This paper cites Hussein and N.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Hussein and N

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:18.964759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:18.964759Z digest=sha256:828f188597aa44e8ac2d083815a761b12330c8d5b1f8decdfaf7283942ca5892

Observation 0ec00b74-2717-45d2-9c00-591b1d6b29ba · outbound

This paper cites Scaling Laws for Neural Language Models.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Scaling Laws for Neural Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:19.032059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:19.032059Z digest=sha256:9b175457d3594509fba4aa00c14fe77f207d6dccfe8066b8296a7e618c479301

Observation 8d7d0057-8b03-44fb-945c-06b6ee71ec32 · outbound

This paper cites Impact of QCD sum rules coupling constants on neutron stars structure.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Impact of QCD sum rules coupling constants on neutron stars structure

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:19.108627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:19.108627Z digest=sha256:1f15bdab87b1aa9eef03c4024d5a77f1a7b55ff81a08d5428055e9a9a780d49d

Observation e79238e2-b670-411e-9b96-05cf7ff90920 · outbound

This paper cites Kochar, Hari Mukerjee, and Francisco J.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Kochar, Hari Mukerjee, and Francisco J

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:19.234745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:19.234745Z digest=sha256:2f05af6e0c6ac6833fc0d56d30235e59e648a17eeaed765bb45c6c1c7f513630

Observation b5190628-74d5-4ca2-aabb-d286587e164e · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:19.332262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:19.332262Z digest=sha256:2c9a7e1525d6fffe0e0deab4c4fe724d4c64b68bcb336a253560eaf6ad7950c2

Observation 4c8a1ef9-4135-4c87-b98c-00e5c848d38f · outbound

This paper cites Machine Learning Operations (MLOps): Overview, Definition, and Architecture.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Machine Learning Operations (MLOps): Overview, Definition, and Architecture

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:19.416571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:19.416571Z digest=sha256:7463fb3fb83ab54db78054cd320ce68d04569fff9c4bba8c089424ae41d2af76

Observation b3f8d026-a075-440a-bc1f-8c18a66ce82d · outbound

This paper cites Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:19.498896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:19.498896Z digest=sha256:d449626ad83bb6695c81c7918722076869b3a889f4c7baf89cdd0326e295e416

Observation fff189c3-d619-4775-90c5-ccac1d96875d · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 24

Resolution
malformed identifier
no resolver link, observed 2026-08-03T16:43:19.667036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:19.667036Z digest=sha256:65078741b2fc484374c55c827beab88b3e674eb456c459bbc102bb989ecdc2be

Observation 5b5d279a-f0f0-4700-afef-34b4eeddee8c · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:19.784871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:19.784871Z digest=sha256:f974f515a2118075eca87841184b4c23580007e680701d8cf75d0653d760dbc3

Observation d86344ba-c366-4ddb-a3d5-0aae3f68b082 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:19.921911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:19.921911Z digest=sha256:e46f50ba520d909133f384013b0a4a24aa8b98bc44ae272b4a78697c7b33a9ed

Observation 53a43470-696b-49f3-8737-078940e73216 · outbound

This paper cites Cost-Effective Retraining of Machine Learning Models.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Cost-Effective Retraining of Machine Learning Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:20.124767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:20.124767Z digest=sha256:24efd90e49e0f956285ca560a4e3dcaa8562cca594e81de57cda8e9a7e73890c

Observation 3b3d4976-ea86-47dd-990b-b3d5559efa3e · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:20.226708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:20.226708Z digest=sha256:6a3a5b740db2baef9b2d2447908900adecc59253a251ce29b9e2511936597263

Observation f5b28f0c-af52-470d-8937-1ce661659342 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:20.305911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:20.305911Z digest=sha256:69abbe80604ef9dd6ab5b43447ed5f7878c16dceb72f9bf736f826b8765926d3

Observation 03bd25f3-3e1a-41d0-a219-7dcd1e1412a3 · outbound

This paper cites Moreno-García, J.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Moreno-García, J

Reference 30

Resolution
verified exact
doi, observed 2026-08-03T16:49:48.671580Z

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=2026-08-03T16:43:20.395019Z digest=sha256:28537f65e29d495c8665db2ae325cb6795926742fda5a090c79fba931d802e65

Observation 0f100b7d-d206-4a09-8fda-3673d6619eb0 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:20.499884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:20.499884Z digest=sha256:1acbee5dbdf2a1639d7e8667597d3e22cc884c6304335abf571355de1416f351

Observation 4448c9d6-4640-4a21-a75b-f1f62acb74c1 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:20.565648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:20.565648Z digest=sha256:31b892d38b1d6deb8671675b6bc780a29b62ec5045ff1293adf70ba7a229d2d6

Observation 66ff4281-7eac-4c0d-af80-e16591ee1279 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:20.631868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:20.631868Z digest=sha256:30098cc474adac6ce6a08209e3a78fd24b83cb0af13dd20ac499dafef02a6331

Observation 0211a370-a473-480e-9cc2-ad800919b0c7 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:20.722816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:20.722816Z digest=sha256:5636583c4144de71044f8b612c843bad971181f8efa4b45be204596869858891

Observation f3b62ffb-eba8-491e-bc38-93a44a0f0d8f · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 35

Resolution
verified exact
doi, observed 2026-08-03T16:49:48.454110Z

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=2026-08-03T16:43:20.788754Z digest=sha256:dcb616f782936ea1ddfdf37b56500ab1b8ce9e6329fe7c30496032ebac3de2f3

Observation 23cc3139-ddf9-4ddc-88f4-6e23198101b3 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:20.874836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:20.874836Z digest=sha256:e7b343db9944da01eea5f1da519d490f2a64aa9d456be072b21f09cb92af3b5d

Observation 4b0a5d17-6ea0-4bf3-827b-8d300b6c2483 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:21.050764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:21.050764Z digest=sha256:82b2bf25e73fc04b172c7a6e125212f361705cdf995430a1cbfcab29b4c8a331

Observation 4978ce02-1f12-411e-b973-1d2d4bf2e913 · outbound

This paper cites Navigating MLOps: Insights into Maturity, Lifecycle, Tools, and Careers.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Navigating MLOps: Insights into Maturity, Lifecycle, Tools, and Careers

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:21.244996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:21.244996Z digest=sha256:396ab923b7a1b037bb545bfff4d0e1899965ab47949f4bcba40004723d6f58a8

Observation 4d74c5f3-5622-4ecb-9a5f-b5d0602045b0 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:21.401100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:21.401100Z digest=sha256:80ef1bc07562ba478944e03fbbe6a64fc65117a97948e4cb32187df9c8f373d3

Observation 5c5b83c9-9120-45aa-bb95-5882f18ce36b · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:21.491789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:21.491789Z digest=sha256:2c2c3d8accad41d726398b03f26f1eddeab2132da78bbfc5ebc8d303d81606d2

Observation 4b314add-4faa-4a76-991c-7231f325ea1b · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:21.586104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:21.586104Z digest=sha256:9c645ef92b9cb50f3e203843a6a8df176b9e7bcea3d5665047366c6d998de66c

Observation 0926ef66-7adb-4a2e-a9b6-6de669c766a9 · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:21.705201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:21.705201Z digest=sha256:07c29cefe5290ab8475845092b56c155d69e44419eee1ec20691738786f8280e

Observation 00dc3774-dce5-4183-a2b7-92805cf248df · outbound

This paper cites an unresolved cited work.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T16:43:21.853977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:43:21.853977Z digest=sha256:f26a44d496d496984c3d06051d867556cda07b68e514597052f6893ca42075a0

Pith citing papers

No inbound Pith citation observations are available.