Paper Citation Record · LEDGER

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search

As of 14 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2506.02746.

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

pith.paper-citation-record.v1
2506.02746 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:22:03.876561Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

12 of 12 outbound references displayed

verified exact5
verified fuzzy2
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05b2baac-a433-43ed-a9f5-dc0e3ee79fa9 · outbound

This paper cites Computers & Industrial Engineering156, 107221 (2021).

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search Computers & Industrial Engineering156, 107221 (2021)

Reference 1

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T11:22:06.165880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8768029e-39d9-4cfb-b17f-c64a84e54e07 · outbound

This paper cites Deterministic Pod Repositioning Problem in Robotic Mobile Fulfillment Systems.

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search Deterministic Pod Repositioning Problem in Robotic Mobile Fulfillment Systems

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T11:22:05.877691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0c72c5fd-1232-4d62-abc8-db40000e5f7c · outbound

This paper cites In: Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS).

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search In: Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS)

Reference 3

Resolution: verified exact; doi, observed 2026-08-07T11:22:04.757584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7edf9e27-d4b5-4912-abee-2c816cfd1dca · outbound

This paper cites Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding.

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:22:05.620631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 135a3052-a9ee-4a0b-a105-c43b378617d3 · outbound

This paper cites Transportation Research Part E: Logistics and Transportation Review 111, 1–16 (2018).

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search Transportation Research Part E: Logistics and Transportation Review 111, 1–16 (2018)

Reference 5

Resolution: verified exact; doi, observed 2026-08-07T11:22:04.577150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f013f54a-acfe-4d20-aa6d-0b271d188bc3 · outbound

This paper cites Artificial Intelligence319 (2024).

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search Artificial Intelligence319 (2024)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:06.480946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6ac149a7-f3db-40f7-a835-6ad52d8982f0 · outbound

This paper cites European Journal of Operational Research 291(1), 123–134 (2021).

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search European Journal of Operational Research 291(1), 123–134 (2021)

Reference 7

Resolution: verified exact; doi, observed 2026-08-07T11:22:04.382042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ba2ef8b4-dddb-442d-995b-a794db1cf7a7 · outbound

This paper cites Transportation Science40(4), 455–472 (2006).

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search Transportation Science40(4), 455–472 (2006)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:03.356909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dcb95c5-9cf4-4780-9efc-d03346cdd27b · outbound

This paper cites To appear in European Journal of Operational Research (2025).

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search To appear in European Journal of Operational Research (2025)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:06.333936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aa063dc4-901b-4f6c-a357-0bebdd480735 · outbound

This paper cites Transportation Science 52(5), 1479–1495 (2018).

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search Transportation Science 52(5), 1479–1495 (2018)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:03.629530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 757f99b3-9589-4c11-864d-20c78e924c73 · outbound

This paper cites Pro- duction and Operations Management28(2), 354–373 (2019).

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search Pro- duction and Operations Management28(2), 354–373 (2019)

Reference 11

Resolution: verified exact; doi, observed 2026-08-07T11:22:04.149108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1abcebf5-09b8-4742-a7dc-00996307104a · outbound

This paper cites Transportation Research Part E: Logistics and Transportation Review167, 102920 (2022).

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search Transportation Research Part E: Logistics and Transportation Review167, 102920 (2022)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:03.876561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.