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Paper Citation Record · LEDGER

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation

As of 24 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.00959.

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

pith.paper-citation-record.v1
2506.00959 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:58:27.335025Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f013575-5dc8-4606-98ea-a5b52a399ed5 · outbound

This paper cites Backdoor adjustment via group adaptation for debiased coupon recommendations.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Backdoor adjustment via group adaptation for debiased coupon recommendations

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T11:58:31.933433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:24.762090Z digest=sha256:30f97990c770c012391979dc98967938883eca4eba4f4dde70df722d5a9443eb

Observation efbc1505-17da-49e9-be59-d831ef513d5e · outbound

This paper cites E-commerce promotions personalization via online multiple-choice knapsack with uplift modeling.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation E-commerce promotions personalization via online multiple-choice knapsack with uplift modeling

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T11:58:31.713753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:24.827437Z digest=sha256:b4fd6ebb60d45a7fb5bede1ac0bf142567eeb79a299dd2f006bdcd38c964eeb5

Observation 9d51dd10-73bf-4fd9-92e1-6a8a2e59a336 · outbound

This paper cites Metalearners for Ranking Treatment Effects.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Metalearners for Ranking Treatment Effects

Reference 3

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no resolver link, observed 2026-08-07T11:58:24.926034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:24.926034Z digest=sha256:5a24f0e92c05d918915afc3a4b031188e491c96630580f0c60ca1fe52af5ed18

Observation ec43e4bd-0b3a-4622-884f-1a48aa62d12f · outbound

This paper cites Uplift modeling with continuous treatments: A predict-then-optimize approach.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Uplift modeling with continuous treatments: A predict-then-optimize approach

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T11:58:25.018609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:25.018609Z digest=sha256:f964fd32b2f6957be1434ad007a1f256b1847460bfaf6c88be33f9c50354b938

Observation ddb4c2d6-af0a-44b4-916b-84c0e76bb30f · outbound

This paper cites Direct heterogeneous causal learning for resource allocation problems in marketing.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Direct heterogeneous causal learning for resource allocation problems in marketing

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:58:31.533771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:25.102369Z digest=sha256:e7e71ccb2ab52087a75f7d7909c85b37caa4b97ef965fc0b03a3de9c8a9f9074

Observation 62eb8683-9a32-4224-84ac-c8c68a094565 · outbound

This paper cites Melding the data-decisions pipeline: Decision-focused learning for combinatorial optimization.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Melding the data-decisions pipeline: Decision-focused learning for combinatorial optimization

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:58:31.326340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:25.193216Z digest=sha256:abf66f22fb1d9ca65de2f5da68a2fe645926387f653a87231b444c24494cf04c

Observation ba6befc9-8402-4857-a33f-4603623fdd40 · outbound

This paper cites Decision focused causal learning for direct counterfactual marketing optimization.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Decision focused causal learning for direct counterfactual marketing optimization

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T11:58:31.126455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:25.279401Z digest=sha256:94cbc507a8bb3c1c64b427a7a5423e38c975dd9ec1ee97bc487930abf7d4e023

Observation 0ba39500-6e88-42f2-b931-01c5aaa102fc · outbound

This paper cites Decision-focused learning: Through the lens of learning to rank.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Decision-focused learning: Through the lens of learning to rank

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:58:30.871319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:25.367334Z digest=sha256:2569067be657a13cae0d22c798ab158f5577c920a5b2e7406dbc086a90738178

Observation b176f39c-7628-41f6-a52c-95fcc7ed12f4 · outbound

This paper cites Benchmarking pto and pno methods in the predictive combinatorial optimization regime.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Benchmarking pto and pno methods in the predictive combinatorial optimization regime

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:58:30.545982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:25.460056Z digest=sha256:ad94d5fe19e8923802bc008634238dce5015b3c3335160fe516d8f5570dc7d6b

Observation 16347108-cf8a-4370-afd1-4bcde282ac93 · outbound

This paper cites End-to-end cost-effective incentive recommendation under budget constraint with uplift modeling.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation End-to-end cost-effective incentive recommendation under budget constraint with uplift modeling

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:58:30.244858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:25.561511Z digest=sha256:72e2c0c61b2debbde2d1910bd6d6e1fbe013eb333049f3d544569826ee7889e3

Observation 355e0a37-e426-45c7-8eff-a52c301bf0d0 · outbound

This paper cites Rankability-enhanced revenue uplift modeling framework for online marketing.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Rankability-enhanced revenue uplift modeling framework for online marketing

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:58:29.995235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:25.654810Z digest=sha256:9a19b28ef17ac47d0b88be50f92bd6a597f602ba67caac95563bdcdafb406445

Observation 20adf300-b335-4449-8605-236cd4a4dd41 · outbound

This paper cites Maximizing the success probability of policy allocations in online systems.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Maximizing the success probability of policy allocations in online systems

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T11:58:29.755834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:25.741616Z digest=sha256:11323ad0447ed27651497d8f908a2aa75777a58c5d789135e9fb69c9a4e50faf

Observation 4176622f-bf27-4ba3-ae11-d8e1d1aca1ed · outbound

This paper cites Lbcf: A large-scale budget-constrained causal forest algorithm.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Lbcf: A large-scale budget-constrained causal forest algorithm

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:58:29.504090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:25.834238Z digest=sha256:7b445223d15031369554c4b6ead2b30de50475baa10507f72cdb621757da2cfd

Observation 48e4b39d-a71f-4ce7-8500-cfde34ed98ca · outbound

This paper cites Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning

Reference 14

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unresolved
no resolver link, observed 2026-08-07T11:58:25.937410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:25.937410Z digest=sha256:edf1e3d06aacff144b27ac9156e342a83aaa709e86c9b801f46a67f80a8fbfd4

Observation b88abc08-dece-4e5b-b6f9-9517d937ef6c · outbound

This paper cites Adapting neural networks for the estimation of treatment effects.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Adapting neural networks for the estimation of treatment effects

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T11:58:26.019357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:26.019357Z digest=sha256:5326054162f9414b49025e66deadafd05764f51ff79ee1353c8f0b25b2ca1445

Observation 0eee9b5b-d77b-47db-9c9a-d7a399bbf772 · outbound

This paper cites VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T11:58:26.142627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:26.142627Z digest=sha256:3f3674ba45f59f62ca62b1e759acf4b194127df99312a996b0c83221a4718496

Observation c605f696-b631-4599-ab8a-eb009580370d · outbound

This paper cites Learning to rank for optimal treatment allocation under resource constraints.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Learning to rank for optimal treatment allocation under resource constraints

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:58:29.309661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:26.229747Z digest=sha256:2456640ae5135e5f2ed41d841df7e7dbed8f0e09d52e3eb00e26ce0b0892fda1

Observation 1fbdce16-dacf-42a9-af97-a47e21ebb4aa · outbound

This paper cites Improve roi with causal learning and conformal prediction.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Improve roi with causal learning and conformal prediction

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:58:29.121674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:26.311716Z digest=sha256:a9d882ec3658f093d205047c39644ff27ada11a79f3bfcdff9ba05de8106df4b

Observation dfe4a260-60dc-4ded-a5c2-846be6c42e66 · outbound

This paper cites A multi-stage framework for online bonus allocation based on constrained user intent detection.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation A multi-stage framework for online bonus allocation based on constrained user intent detection

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:58:28.900311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:26.405874Z digest=sha256:34a365cb30e25b5472818afc0db860146eba1d3fed0e5fb1f2de869bf5ff2360

Observation 564ddc6a-7c3a-4ce0-b814-be326d306460 · outbound

This paper cites Interior point solving for lp-based prediction+ optimisation, 2020.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Interior point solving for lp-based prediction+ optimisation, 2020

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:58:28.710783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:26.505444Z digest=sha256:a87116b04e7e4c85019a04463d32de61b4f3a4f1ce90d4fbe8edd17825e42f04

Observation 7421fd65-db29-40c7-af24-28f428ea6357 · outbound

This paper cites Implicit mle: backpropagating through discrete exponential family distributions.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Implicit mle: backpropagating through discrete exponential family distributions

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-07T11:58:28.374500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:26.610320Z digest=sha256:e9477da3b8cff8c9f2de151b557f184b9452775ecdd1e677239662603aa1f80f

Observation e80e44ec-3b87-40b8-be98-efb0f41c9315 · outbound

This paper cites Learning with differentiable pertubed optimizers.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Learning with differentiable pertubed optimizers

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-07T11:58:28.143511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:26.696234Z digest=sha256:e3c28a9e38b516477fdcdfcd6c3201e3d4aed086ddc07b78e53e37025e8819de

Observation 6ee6f7a6-0ccc-4e5c-9d65-9746c716a1f2 · outbound

This paper cites Differentiation of Blackbox Combinatorial Solvers.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Differentiation of Blackbox Combinatorial Solvers

Reference 23

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unresolved
no resolver link, observed 2026-08-07T11:58:26.794698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:26.794698Z digest=sha256:926f12ba469fc5c80604c0155681e56e89104ff6e69f4e1dcf697363c643d1ef

Observation dbc3dc79-6484-4c44-877f-bc6831870ff0 · outbound

This paper cites Decision-focused learning without decision-making: Learning locally optimized decision losses.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Decision-focused learning without decision-making: Learning locally optimized decision losses

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:58:27.869410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:26.877247Z digest=sha256:ce17c9b378a98dfad2dd1ffe76489f34aa8941ddcd43fe8518614eb280acf611

Observation 2fc64030-ca98-4316-86ac-671b73d4aa0b · outbound

This paper cites Task-based end-to-end model learning in stochastic optimization.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Task-based end-to-end model learning in stochastic optimization

Reference 25

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unresolved
no resolver link, observed 2026-08-07T11:58:27.007394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:27.007394Z digest=sha256:b121e26b360c87ec30e31ddeada7b930e2ee6bd454d93f6c14ab680d410c74e2

Observation 5b738ba6-330a-4a78-bb8f-e067dde12d06 · outbound

This paper cites Uplift modeling with multiple treatments and general response types.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Uplift modeling with multiple treatments and general response types

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:58:27.604573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:58:27.121892Z digest=sha256:7ece10e43c949b6f6c08205f336937f6d78c8a881d8ff0af8a8e4d60e75681ab

Observation 5fe28402-2f35-483c-b64b-f9da8f070e32 · outbound

This paper cites Robust Learning with Jacobian Regularization.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Robust Learning with Jacobian Regularization

Reference 27

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unresolved
no resolver link, observed 2026-08-07T11:58:27.237981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:27.237981Z digest=sha256:268e0d9ccb5913b4f086062e34c3138f05504bb5ac51838037c28f887c727cef

Observation b446a5a9-0b43-4b53-aa88-ade2eb2d8922 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 28

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unresolved
no resolver link, observed 2026-08-07T11:58:27.335025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:27.335025Z digest=sha256:3a76aaeaf78fafd2681d198ce30715499818562859757d1965afee27a2b954a6

Pith citing papers

No inbound Pith citation observations are available.