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Paper Citation Record · LEDGER

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation

As of 14 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.08911.

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

pith.paper-citation-record.v1
2412.08911 v3

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:32:07.052068Z

measured 31 of 31 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

31 of 31 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved16
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c22d02d-3754-40ad-be22-80f10b87475a · outbound

This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation An Overview of Multi-Task Learning in Deep Neural Networks

Reference 1

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Unavailable: canonical work link unavailable.

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Observation f3c12bac-1405-4e28-8dc2-081d7bc46a85 · outbound

This paper cites Multi-task learning as multi-objective optimization.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Multi-task learning as multi-objective optimization

Reference 2

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

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Observation 47d24c4c-efff-49d9-bfef-78e0662e93b1 · outbound

This paper cites A survey on multi-task learning.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation A survey on multi-task learning

Reference 3

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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.

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Observation 3c3c8c00-7a99-48fa-85c6-5d895e1dbfbc · outbound

This paper cites Modeling task relationships in multi-task learning with multi-gate mixture-of-experts.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Modeling task relationships in multi-task learning with multi-gate mixture-of-experts

Reference 4

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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.

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Observation ef40fd43-3394-474b-99f8-5bb9570fe44f · outbound

This paper cites End-to-end multi-task learning with attention.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation End-to-end multi-task learning with attention

Reference 5

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Observation 29e6991b-7104-4b51-99c1-abc820cfb8ea · outbound

This paper cites Gradient surgery for multi-task learning.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Gradient surgery for multi-task learning

Reference 6

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Observation ec34560b-1c45-4c1e-8c84-11b8074b8685 · outbound

This paper cites A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation

Reference 7

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raw_fallback, observed 2026-08-11T17:32:07.344047Z

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.

source=pdf_text observed=2026-08-11T17:32:06.962098Z digest=sha256:dea38de9aa9644de4e03f0a60fc69ede81a50610905876283dc361907ba879b4

Observation 5ca147e6-54b6-4e09-97a1-21436fb522ef · outbound

This paper cites Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL

Reference 8

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source=pdf_text observed=2026-08-11T17:32:06.965689Z digest=sha256:a8875e1d5ee85f11991bf060d4d19e0f4fbd8b592f1ace4f813c453cd651c4cd

Observation 3da55db4-9c97-4bda-94d3-71279520a723 · outbound

This paper cites Goal-Conditioned Reinforcement Learning: Problems and Solutions.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 9

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source=pdf_text observed=2026-08-11T17:32:06.969586Z digest=sha256:83ffbb4c9823ad57d080ab42ea9b8793c3838f6d40d49dc1119585db5e8c6dc4

Observation e3003b99-0289-46c5-801b-1e41b7b9003a · outbound

This paper cites Decision transformer: Reinforcement learning via sequence modeling.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Decision transformer: Reinforcement learning via sequence modeling

Reference 10

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Observation 9f7a887b-d3d3-48be-b8c6-b091466573d9 · outbound

This paper cites Rethinking reinforcement learning for recommendation: A prompt per- spective.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Rethinking reinforcement learning for recommendation: A prompt per- spective

Reference 11

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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.

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Observation 4e94d1af-4814-4f52-aa7d-32d559637e33 · outbound

This paper cites Cross-stitch networks for multi-task learning.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Cross-stitch networks for multi-task learning

Reference 12

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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.

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Observation d31fb4a2-cd14-460c-83b9-56fdbc037582 · outbound

This paper cites Famo: Fast adaptive multitask optimization.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Famo: Fast adaptive multitask optimization

Reference 13

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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.

source=pdf_text observed=2026-08-11T17:32:06.984442Z digest=sha256:357f0033478c35ff936ebbd5441065892355cb174820282a11edb01ba3b02344

Observation e19777a6-c71c-41cc-ae18-33eb84674f5d · outbound

This paper cites Offline reinforcement learning as one big sequence modeling problem.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Offline reinforcement learning as one big sequence modeling problem

Reference 14

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Unavailable: canonical work link unavailable.

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Observation ecc57f5f-9a57-47a3-9722-a6dfbfcc1698 · outbound

This paper cites Online decision transformer.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Online decision transformer

Reference 15

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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.

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Observation 0d6edf85-53ae-4327-bf2b-0235d61acc91 · outbound

This paper cites OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 69a6064c-91e9-4a44-9818-ff69b12f4165 · outbound

This paper cites Q-learning decision transformer: Leveraging dynamic programming for conditional sequence modelling in offline rl.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Q-learning decision transformer: Leveraging dynamic programming for conditional sequence modelling in offline rl

Reference 17

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Source-reported events for the cited work

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Observation b61b5177-3c07-4603-95da-53f3ec4b5ae5 · outbound

This paper cites Reinformer: Max-Return Sequence Modeling for Offline RL.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Reinformer: Max-Return Sequence Modeling for Offline RL

Reference 18

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Observation f6a4aac2-ce35-4c41-a21f-134a92b6932d · outbound

This paper cites Constrained Reinforcement Learning for Short Video Recommendation.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Constrained Reinforcement Learning for Short Video Recommendation

Reference 19

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local_arxiv, observed 2026-08-11T17:32:07.122150Z

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.

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Observation 602e5f06-1bde-4b51-91ed-c301ca570a7b · outbound

This paper cites Choosing the best of both worlds: Diverse and novel recommendations through multi-objective reinforcement learning.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Choosing the best of both worlds: Diverse and novel recommendations through multi-objective reinforcement learning

Reference 20

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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.

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Observation a4c3179c-7bb8-4422-b8e2-95c5fa8281a0 · outbound

This paper cites A survey of multi-objective sequential decision-making.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation A survey of multi-objective sequential decision-making

Reference 21

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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.

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Observation fd110922-2c9e-47bb-9f2a-3b460ba6c128 · outbound

This paper cites Self-attentive sequential recommendation.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Self-attentive sequential recommendation

Reference 22

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Observation 17c3c0a4-f595-4a19-8269-d9509c12b14b · outbound

This paper cites Strec: Sparse transformer for sequential recommendations.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Strec: Sparse transformer for sequential recommendations

Reference 23

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

source=pdf_text observed=2026-08-11T17:32:07.021140Z digest=sha256:f9ef4ef0fc20da1ac6823cf2dfb799100ff09640b16df7597b88e847173b6ac3

Observation e9c5eaed-eeea-401f-911c-62b76054fcbc · outbound

This paper cites Conditional Generative Adversarial Nets.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Conditional Generative Adversarial Nets

Reference 24

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source=pdf_text observed=2026-08-11T17:32:07.024760Z digest=sha256:4a06a5565ccb35ca6109a227bb92a94a61a2c8efd9985810ea8cfb629dbb00aa

Observation 433845f8-1404-4bb2-a294-b3e7879299bf · outbound

This paper cites Classifier-Free Diffusion Guidance.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Classifier-Free Diffusion Guidance

Reference 25

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Observation de5fd350-deb5-460c-8802-82377e1790ea · outbound

This paper cites Learning structured output representation using deep conditional generative models.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Learning structured output representation using deep conditional generative models

Reference 26

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Observation b6f2e1a9-4ef1-47be-b907-1fe029cdf34d · outbound

This paper cites Multi-objective optimization for long tail recommendation.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Multi-objective optimization for long tail recommendation

Reference 27

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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.

source=pdf_text observed=2026-08-11T17:32:07.036676Z digest=sha256:ced298855f76818f5d0795fd3ab626574cc00a5676deb4a9f60aa10f29958554

Observation dc528a4b-5c95-481b-a5c9-d99ced8527e9 · outbound

This paper cites Self-supervised reinforcement learning for recommender systems.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Self-supervised reinforcement learning for recommender systems

Reference 28

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raw_fallback, observed 2026-08-11T17:32:07.206312Z

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.

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Observation 5a9e2eeb-0e75-4359-ab7b-ba7f913a0430 · outbound

This paper cites Xgboost: A scalable tree boosting system.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Xgboost: A scalable tree boosting system

Reference 29

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source=pdf_text observed=2026-08-11T17:32:07.044156Z digest=sha256:c8f8e9faa758fefe04cf30739111b663cd1eb904bf4490f12c8423ed3c02fe7a

Observation ad1e9d07-b190-4982-83bf-5112c493a654 · outbound

This paper cites Session-based Recommendations with Recurrent Neural Networks.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Session-based Recommendations with Recurrent Neural Networks

Reference 30

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source=pdf_text observed=2026-08-11T17:32:07.048025Z digest=sha256:9b48e81bcdd0672a1d8519b9e8d6b305a6f096774d6b3f78e06eef47b71e6899

Observation 35527f8a-0d17-4298-84b8-9ea14b2b4cd4 · outbound

This paper cites Tenrec: A large-scale multipurpose benchmark dataset for rec- ommender systems.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Tenrec: A large-scale multipurpose benchmark dataset for rec- ommender systems

Reference 31

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

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Pith citing papers

No inbound Pith citation observations are available.