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Paper Citation Record · LEDGER

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection

As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2608.02343.

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

pith.paper-citation-record.v1
2608.02343 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:06:06.790458Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved50
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8093e74-6d0f-4b87-82ab-cf10dffca8f1 · outbound

This paper cites Proceedings of the 33rd International Conference on Neural Information Processing Systems.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Proceedings of the 33rd International Conference on Neural Information Processing Systems

Reference 1

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source=arxiv_source observed=2026-08-04T09:06:00.906824Z digest=sha256:311a99e2cf991b9cd00c83fe126e8d199f9841d39f243a4c736702fb6f49653d

Observation 7b9ae549-695b-4977-a0cd-6fc75c5940b7 · outbound

This paper cites Deep Reinforcement Learning for Inventory Networks: Toward Reliable Policy Optimization.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Deep Reinforcement Learning for Inventory Networks: Toward Reliable Policy Optimization

Reference 2

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source=arxiv_source observed=2026-08-04T09:06:00.999288Z digest=sha256:8a83cc7f37640cd18b78742f960eaee9b2b5d182d85436bbd7c9a7a87650ee31

Observation 74e782ff-b9b7-4720-bd78-cb6fb3f852b8 · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning, volume 70 of PMLR, 136--145.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Proceedings of the 34th International Conference on Machine Learning, volume 70 of PMLR, 136--145

Reference 3

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source=arxiv_source observed=2026-08-04T09:06:01.131019Z digest=sha256:4b539cdf46662df1a77086214f90d940a4a476224377204bfafe1f39fc0c9a71

Observation 8360427c-276c-43a8-9bf5-614f5b28e2f2 · outbound

This paper cites an unresolved cited work.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-04T09:06:01.301219Z digest=sha256:3d5ae4c96bf807b4d0d50848673f01162ae169a823bcca582befd4278d34d073

Observation ba871fa3-8c5f-4f00-b968-8bab59d35760 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 5

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source=arxiv_source observed=2026-08-04T09:06:01.500555Z digest=sha256:36c7749367348aa06469ec953797e979d88bbc7c2848e1e75ebf38fcd34f5133

Observation 368c59cb-88f4-429c-b087-47f1a3afa976 · outbound

This paper cites Journal of Machine Learning Research 21(35):1--69.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Journal of Machine Learning Research 21(35):1--69

Reference 6

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source=arxiv_source observed=2026-08-04T09:06:01.672530Z digest=sha256:8aee6c892268a9e3af6f64845b0567c7cdb0553e7710168fab30c71830f6903d

Observation f1ab5c99-6ebe-4b10-8c4d-879a255accbe · outbound

This paper cites INFORMS Journal on Computing 35(6):1308--1328.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection INFORMS Journal on Computing 35(6):1308--1328

Reference 7

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source=arxiv_source observed=2026-08-04T09:06:01.826749Z digest=sha256:baf1f21867226e381aa22d26f3a48250ba36c94a5b0dbc3fcc9f5ad23ce4913e

Observation da0a52b8-797b-45f5-b091-584fb38f0797 · outbound

This paper cites an unresolved cited work.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-04T09:06:02.005277Z digest=sha256:5fe32cd98023a233da3b7462ab70dadf8dbe4e6eee6ee50aff604261dc5cd95d

Observation 8df9d9a9-63ff-455b-aaab-96c838f981c3 · outbound

This paper cites Quantitative Finance 19(8):1271--1291.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Quantitative Finance 19(8):1271--1291

Reference 9

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source=arxiv_source observed=2026-08-04T09:06:02.144264Z digest=sha256:39213e6e78b6a3d0f9383d0ae3c459a9dd664b40ecba643ac554f26d0ebf8413

Observation 618de7e7-6855-4488-8e3d-f90a15ec2533 · outbound

This paper cites Differentiable Discrete Event Simulation for Queuing Network Control.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Differentiable Discrete Event Simulation for Queuing Network Control

Reference 10

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source=arxiv_source observed=2026-08-04T09:06:02.246021Z digest=sha256:3a96473a7465b2de8012c08ce8cfdf6f3f4c563956ccd3e1f7879ae4685731af

Observation cfe30cd5-55a5-4091-ab74-0b1e374b28d4 · outbound

This paper cites Management S cience 6(4):475--490.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Management S cience 6(4):475--490

Reference 11

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Observation 7361252c-e1d7-4a1f-93e1-fcc89df01781 · outbound

This paper cites Safe Exploration in Continuous Action Spaces.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Safe Exploration in Continuous Action Spaces

Reference 12

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Observation 98aa7beb-1bfb-4bb6-b094-33cc033dc44b · outbound

This paper cites de Kok A, Graves S, eds., Design and Analysis of Supply Chains, 597--675, Handbooks in Operations Research and Management Science (North-Holland Publishing Company).

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection de Kok A, Graves S, eds., Design and Analysis of Supply Chains, 597--675, Handbooks in Operations Research and Management Science (North-Holland Publishing Company)

Reference 13

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source=arxiv_source observed=2026-08-04T09:06:02.687242Z digest=sha256:f019d1931bb08dd027eb3b9cb64b4371c86bb5ae273d4a578432cd1aeeff7477

Observation 5a7928ca-090e-44fa-87cc-47ef8e9cec7d · outbound

This paper cites European Journal of Operational Research 269(3):955--983.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection European Journal of Operational Research 269(3):955--983

Reference 14

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source=arxiv_source observed=2026-08-04T09:06:02.851296Z digest=sha256:b00011ba0de48885b11d562a777c7aee9789a1f54e44214159f25a5297f30f3e

Observation 064d533e-c9a0-4bd4-bde0-01258547ce18 · outbound

This paper cites International Conference on Learning Representations (ICLR).

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection International Conference on Learning Representations (ICLR)

Reference 15

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source=arxiv_source observed=2026-08-04T09:06:02.995154Z digest=sha256:c9e95bdac3fa51a68fcc99e5d9cc23fd984ba2593292b6e0d9612c32e0a10b96

Observation 2ff4be71-1c0b-4d2c-8600-313f7092b230 · outbound

This paper cites Journal of Process Control 116:80--92.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Journal of Process Control 116:80--92

Reference 16

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source=arxiv_source observed=2026-08-04T09:06:03.105546Z digest=sha256:fc5015b8509d809a98f2db79fc81f1f7a8d703fe9f3733ab81cc3164ec3f152c

Observation 245a7c15-5c15-4cd3-97e0-1cf48a254ff0 · outbound

This paper cites Neural Coordination and Capacity Control for Inventory Management.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Neural Coordination and Capacity Control for Inventory Management

Reference 17

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source=arxiv_source observed=2026-08-04T09:06:03.200845Z digest=sha256:c6ec60f251af13a300acd7548cc27deeb6382966973e0503158b8cc6dce33eec

Observation 488db0e9-8ebf-4f1a-b1c0-cab6995de980 · outbound

This paper cites Management Science 68(1):9--26.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Management Science 68(1):9--26

Reference 18

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source=arxiv_source observed=2026-08-04T09:06:03.321617Z digest=sha256:e17873c0e6529fc5c2253cbbe1fb6a2d819b0fb1aead8d1363262eaf8c7790f2

Observation f97c01ad-37ea-408c-a8aa-1e1f88d70298 · outbound

This paper cites International Journal of Production Economics 288:109687.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection International Journal of Production Economics 288:109687

Reference 19

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source=arxiv_source observed=2026-08-04T09:06:03.496258Z digest=sha256:3059007b284fc8fa648db44977ed05e50166bbfcf4293d15ab70513b9815d6d5

Observation 4491711e-6c56-4afe-bfac-033b9d0022b8 · outbound

This paper cites Manufacturing & Service Operations Management 24(3):1349--1368.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Manufacturing & Service Operations Management 24(3):1349--1368

Reference 20

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Observation 17b6c8de-1848-45b6-aaf3-98d21975140e · outbound

This paper cites Cohen MC, Dai T, eds., AI in Supply Chains: Perspectives from Global Thought Leaders, 137--148 (Cham: Springer Nature Switzerland).

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Cohen MC, Dai T, eds., AI in Supply Chains: Perspectives from Global Thought Leaders, 137--148 (Cham: Springer Nature Switzerland)

Reference 21

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source=arxiv_source observed=2026-08-04T09:06:03.627795Z digest=sha256:743111067db7dce9c6c50244ca2ee79eeb54d78d2385e6cc0bafb0e8ad19fb25

Observation a5bdff91-2026-4d3e-a700-c9692fd8d524 · outbound

This paper cites Management Science 41(2):263--281.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Management Science 41(2):263--281

Reference 22

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source=arxiv_source observed=2026-08-04T09:06:03.711490Z digest=sha256:aba262ca01d2d8a89958b6a2d6c69a07f17da808cf1759c128af633cf9337270

Observation 6c7f1c94-73ff-4a25-8b95-67dbbe98fb26 · outbound

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Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Unresolved cited work

Reference 23

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Observation 5a23e01a-19cc-4c39-b71d-69c7f7a468a6 · outbound

This paper cites Manufacturing & Service Operations Management 27(2):369--388.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Manufacturing & Service Operations Management 27(2):369--388

Reference 24

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source=arxiv_source observed=2026-08-04T09:06:03.847874Z digest=sha256:82adf827510ae7bb7f5cb8e6a7def68e5ba09846953bc224bbd7ad0a65a4a34b

Observation 760a8874-caea-42f0-881a-478bb23eee32 · outbound

This paper cites The 39th Annual Conference on Neural Information Processing Systems.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection The 39th Annual Conference on Neural Information Processing Systems

Reference 25

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source=arxiv_source observed=2026-08-04T09:06:03.904194Z digest=sha256:a5fd5606c0b401ee760512ff7230bbe3636e986f54351383588fe3e1b6cc4a60

Observation 918a6a1f-0497-4161-a747-1aa5c764dbe9 · outbound

This paper cites Manufacturing & Service Operations Management 18(4):570--584.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Manufacturing & Service Operations Management 18(4):570--584

Reference 26

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source=arxiv_source observed=2026-08-04T09:06:04.019341Z digest=sha256:fb4a66f916c0fe3f8552997281193e100d834bcb15e229cacb9462188c34d246

Observation 438a9ca0-a7d1-458b-9a8b-010b5453e131 · outbound

This paper cites Management Science 33(3):409--418.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Management Science 33(3):409--418

Reference 27

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source=arxiv_source observed=2026-08-04T09:06:04.136276Z digest=sha256:7d0a23f965b69ac0c7867d286533350d384ccca7950b871ebd005e9237c7a48a

Observation 29d978da-3822-4b27-a98d-56230fcad42a · outbound

This paper cites International Journal of Production Economics 267:109088.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection International Journal of Production Economics 267:109088

Reference 28

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source=arxiv_source observed=2026-08-04T09:06:04.283956Z digest=sha256:6c348bc016a38511bc1f93032ba72f23525e53f98f8521d4e9d0de5c60ea64e3

Observation a8479532-2549-4d50-a27d-d0e5cccfde29 · outbound

This paper cites International Conference on Learning Representations (ICLR).

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection International Conference on Learning Representations (ICLR)

Reference 29

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source=arxiv_source observed=2026-08-04T09:06:04.428140Z digest=sha256:9819a27d0a09ab54e65dd863e9469c1a67ea5b4767e473d3c494cf0c8d2ee602

Observation 2ff09da0-e64e-4563-97e6-d98726f7f2bd · outbound

This paper cites arXiv preprint arXiv:2507.14446.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection arXiv preprint arXiv:2507.14446

Reference 30

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source=arxiv_source observed=2026-08-04T09:06:04.611363Z digest=sha256:5307d3abd3abb2aabe613c8df692d27b8124c11cda7c28f891e2f3ee59ef9746

Observation b358478a-4bc7-49ef-b8ca-d495a9f5bfc9 · outbound

This paper cites human buyers: A study of alibaba’s inventory replenishment system.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection human buyers: A study of alibaba’s inventory replenishment system

Reference 31

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source=arxiv_source observed=2026-08-04T09:06:04.743006Z digest=sha256:e567a839e8b94e19f1623ed56b3a2135caf2a8a402b02a314e4de56dc4db3b05

Observation 36287bc7-9bde-43cf-b43e-d2a1884e3b00 · outbound

This paper cites Deep Inventory Management.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Deep Inventory Management

Reference 32

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source=arxiv_source observed=2026-08-04T09:06:04.860504Z digest=sha256:90f664953a176d3cf38ae399bae23fd037aa9ce7098a10f9023960db3afa644b

Observation 935e3e0d-ad56-431c-8023-99d00e37a8d6 · outbound

This paper cites European Journal of Operational Research 329(2):447--459.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection European Journal of Operational Research 329(2):447--459

Reference 33

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source=arxiv_source observed=2026-08-04T09:06:04.940779Z digest=sha256:3e0cc01df6423d6f27ee30671fbe21fb6c641e594a49ab8f3aa97413af920bbb

Observation 6780085a-a9a1-4edd-b6ba-4b071b67207b · outbound

This paper cites Journal of Artificial Intelligence Research 80:1623--1701.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Journal of Artificial Intelligence Research 80:1623--1701

Reference 34

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source=arxiv_source observed=2026-08-04T09:06:05.115835Z digest=sha256:77dd5fa062fd45c693d09855a23db7eb838f7cf400717cfd1c574f4bf4a743ee

Observation 8a81e1aa-e891-4e63-bca5-556cdb1c0fef · outbound

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Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Unresolved cited work

Reference 35

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source=arxiv_source observed=2026-08-04T09:06:05.200735Z digest=sha256:71e1f9c1ada2fde2cd76819c614cd1960c370f550599052a346eb406081aae7a

Observation f9b2c0b7-508b-44f7-a7c4-3d34c8a9cde8 · outbound

This paper cites Manufacturing & Service Operations Management 24(1):285--304.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Manufacturing & Service Operations Management 24(1):285--304

Reference 36

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source=arxiv_source observed=2026-08-04T09:06:05.322042Z digest=sha256:14c8bd9044124de1f33ea94569d458bfe42493d43da2c1e7c2dbed2466b07662

Observation cb1c7f85-0684-42c1-b774-0bc97b08a49d · outbound

This paper cites Proceedings of the 33rd International Conference on Neural Information Processing Systems.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Proceedings of the 33rd International Conference on Neural Information Processing Systems

Reference 37

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Observation 84d05e5e-08c6-45d5-80ca-0dfe11d9e9f3 · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning, volume 139 of PMLR, 8443--8453.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Proceedings of the 38th International Conference on Machine Learning, volume 139 of PMLR, 8443--8453

Reference 38

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source=arxiv_source observed=2026-08-04T09:06:05.521922Z digest=sha256:7eb6fc83e54c543ba9dcc66250772d52aa87c96123e86b85b3317700885da8cc

Observation 2df7b164-9f8e-4011-81e4-d070dc38a045 · outbound

This paper cites Management Science 69(2):759--773.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Management Science 69(2):759--773

Reference 39

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source=arxiv_source observed=2026-08-04T09:06:05.602698Z digest=sha256:707f426575ee657ba81877e9b1f27910ff0ad5bb84b7897f2a9b9dbd93ee60f8

Observation 0cecd931-0a13-4861-871b-943b56c91d73 · outbound

This paper cites Manufacturing & Service Operations Management 22(1):36--46.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Manufacturing & Service Operations Management 22(1):36--46

Reference 40

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source=arxiv_source observed=2026-08-04T09:06:05.671995Z digest=sha256:b434a04b917a6138d6dd0ebe13b5424394004ea1fbc7937cb33e78bb6530751b

Observation 16c8c730-e0ac-4f5a-b320-2d2ce140e72e · outbound

This paper cites an unresolved cited work.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Unresolved cited work

Reference 41

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source=arxiv_source observed=2026-08-04T09:06:05.800510Z digest=sha256:bc0db83bf13b14bd016ca541298764600a8fef76c29b3f2f4d83b4474e06dcf4

Observation ec4f15dc-fe83-403e-a651-5889f51af42f · outbound

This paper cites Management Science 42(5):738--757.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Management Science 42(5):738--757

Reference 42

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source=arxiv_source observed=2026-08-04T09:06:05.884488Z digest=sha256:ba33d3d97086884483418cf0ecbc4d16b7109d20158c03ff951d6c8057c10d95

Observation a46962c5-00d4-4782-8dc2-cc8f7fb724b3 · outbound

This paper cites Production and Operations Management 30(2):475--493.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Production and Operations Management 30(2):475--493

Reference 43

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source=arxiv_source observed=2026-08-04T09:06:05.943396Z digest=sha256:84491de98ae78e15e9cda72e76f02f9d2323afd0683bde4d839e223db341a2a4

Observation 266be7d7-90fe-42df-9ea2-977077bd0a73 · outbound

This paper cites International Journal of Production Economics 49(2):157--174.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection International Journal of Production Economics 49(2):157--174

Reference 44

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source=arxiv_source observed=2026-08-04T09:06:06.085800Z digest=sha256:f95834c494883bda03774bfc7810e210b111e0541790419888481db1f3e7c4c1

Observation 6827334c-c1e0-40c1-b57e-71501172e136 · outbound

This paper cites https://www.isir2025.com/research-challenge/information.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection https://www.isir2025.com/research-challenge/information

Reference 45

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source=arxiv_source observed=2026-08-04T09:06:06.203233Z digest=sha256:8f852c7590c9d7f08b8bbfd65b8c605934006d0cff26cada9062252f3f75804f

Observation 345d96ba-cfae-4809-b82f-f1ce96a941e3 · outbound

This paper cites SSRN 4843271.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection SSRN 4843271

Reference 46

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source=arxiv_source observed=2026-08-04T09:06:06.276267Z digest=sha256:8be53c491d1b5c2358162a7917b5b94c04e57e6403014718c4fa395fe8c9d679

Observation 7b4e8a57-bf14-400c-bb04-1ee947e78d83 · outbound

This paper cites an unresolved cited work.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Unresolved cited work

Reference 47

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source=arxiv_source observed=2026-08-04T09:06:06.419669Z digest=sha256:88161451982c36525c02bd244d1a14ea8776a6e6972f7d9bd5d823014744e525

Observation f164f165-6825-45d3-9ee6-b65b1b0508a9 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence 33(01):1658--1665.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Proceedings of the AAAI Conference on Artificial Intelligence 33(01):1658--1665

Reference 48

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source=arxiv_source observed=2026-08-04T09:06:06.534255Z digest=sha256:993cccfeb9081ad594720f90d1be3690f4bceb717fd4021258f6276a2f67fe91

Observation e54715b7-65f6-4aff-a657-3fdb7569bd79 · outbound

This paper cites Machine Learning 8(3-4):229--256.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Machine Learning 8(3-4):229--256

Reference 49

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source=arxiv_source observed=2026-08-04T09:06:06.672185Z digest=sha256:e2973bc1f5e2e60b4b2243bf367fc6734d767a47f0b3ec413970f7c8ccdb4e6a

Observation 78a640fa-33e0-45e1-a870-48c90874956f · outbound

This paper cites arXiv preprint arXiv:2603.19621.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection arXiv preprint arXiv:2603.19621

Reference 50

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source=arxiv_source observed=2026-08-04T09:06:06.790458Z digest=sha256:4a096b046b06eeec2eaf3f74d7bcd88648070f574b5408f7eb879445516b7320

Pith citing papers

No inbound Pith citation observations are available.