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Paper Citation Record · LEDGER

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems

As of 23 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.04434.

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

pith.paper-citation-record.v1
2505.04434 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:32:57.694883Z

measured 40 of 40 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

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy26
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c96dbb4-0ecf-4cbf-bff3-2e2ef4fcfc30 · outbound

This paper cites Effectiveness/efficiency tradeoffs for candidate generation in multi-stage retrieval architectures.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Effectiveness/efficiency tradeoffs for candidate generation in multi-stage retrieval architectures

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.125279Z

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=2026-08-15T23:32:57.547672Z digest=sha256:72e9c8bb5c53f71730044089d587652aa755a503d953e7f855806a23749d73cb

Observation 844ac0a9-5837-487e-8972-e89af756b3b3 · outbound

This paper cites From ranknet to lambdarank to lambdamart: An overview.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems From ranknet to lambdarank to lambdamart: An overview

Reference 2

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no resolver link, observed 2026-08-15T23:32:57.552506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:32:57.552506Z digest=sha256:f05324d927ba72d02e1bbbce244135e4215be74f5b684f7052387b7f26bcf45c

Observation 01aec40c-08ed-43da-9ce6-393e70678cb5 · outbound

This paper cites Learning to rank using gradient descent.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Learning to rank using gradient descent

Reference 3

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raw_fallback, observed 2026-08-15T23:32:58.104812Z

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=2026-08-15T23:32:57.556765Z digest=sha256:63bd994908b14f585e53e6e982990654ad3733c84b525234c9c798d9fbbd329c

Observation 0afe1427-c49b-4977-8a48-ad51c71ac335 · outbound

This paper cites Learning to rank with nonsmooth cost functions.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Learning to rank with nonsmooth cost functions

Reference 4

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raw_fallback, observed 2026-08-15T23:32:58.094171Z

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=2026-08-15T23:32:57.561020Z digest=sha256:ee289e3e0401d5dfd5006d7f4f5be24aa66354be2b71af54d002f5df01784b2a

Observation 6ecbf2db-0d2e-4ce2-9782-26003e580da5 · outbound

This paper cites Learning to rank: from pairwise approach to listwise approach.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Learning to rank: from pairwise approach to listwise approach

Reference 5

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no resolver link, observed 2026-08-15T23:32:57.564726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:32:57.564726Z digest=sha256:8c6f63bab616edfdbe58b71440b71ad0559fe3840c1fcc64e51fbe58926924c5

Observation 9c58c4f2-35c9-4d25-a6e9-f23291e3af84 · outbound

This paper cites Universal Sentence Encoder.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Universal Sentence Encoder

Reference 6

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no resolver link, observed 2026-08-15T23:32:57.568921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:32:57.568921Z digest=sha256:bfda0afafac0b8533ebe2d4830e39c63e29065493504fb065fd6327616a03c78

Observation be201ace-e57b-47aa-91b3-ccc7fe3a64a3 · outbound

This paper cites Deep neural networks for youtube recommendations.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Deep neural networks for youtube recommendations

Reference 7

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no resolver link, observed 2026-08-15T23:32:57.573729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:32:57.573729Z digest=sha256:2bbc045b4c5658315a4e9529e21600955cc2684ac19dba881ac04c806deb1341

Observation 7d46d842-d20c-4309-b140-2b5f1688359e · outbound

This paper cites Deeper text understanding for ir with contextual neural language modeling.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Deeper text understanding for ir with contextual neural language modeling

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.068629Z

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=2026-08-15T23:32:57.577513Z digest=sha256:d46994057eed40b4b8ad22fb7a10c1f253f8f2b4e236895028d11b03a8155b82

Observation e33b8c79-a850-4ccf-b5c9-a0af6631b65b · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:32:57.581637Z digest=sha256:32dbe78f09f2f322e19bc18bfb54946d06f36bbed1c587ba0209d368db0f883a

Observation 6c5bd5f6-c495-4386-abae-ba853421c633 · outbound

This paper cites Real-time personalization using embeddings for search ranking at airbnb.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Real-time personalization using embeddings for search ranking at airbnb

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.050375Z

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=2026-08-15T23:32:57.585213Z digest=sha256:89e87e8f9838358400f40c844b0d3d7b0e3ef6b3097d224ff229086e28fe2fd7

Observation 45e8e04e-d40d-470c-806e-1dc462d49290 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Distilling the Knowledge in a Neural Network

Reference 11

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no resolver link, observed 2026-08-15T23:32:57.588773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:32:57.588773Z digest=sha256:685b4a0595d9bc2c1b02534b9a75ed6341eb42da0a18fdd43344de773fcd3b1f

Observation 9ac3970e-b5ba-4c8d-b790-f22582ffcb62 · outbound

This paper cites Learning deep structured semantic models for web search using clickthrough data.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Learning deep structured semantic models for web search using clickthrough data

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.039757Z

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=2026-08-15T23:32:57.593157Z digest=sha256:875ae6bbbaf9dd150506364ba00c4fa67dfd114ba5ca1f99f3b92c9b393df5ec

Observation 1df63ddb-2d1a-4273-aed1-f4d233c0cfca · outbound

This paper cites Embedding-based retrieval in facebook search.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Embedding-based retrieval in facebook search

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.028227Z

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=2026-08-15T23:32:57.597054Z digest=sha256:d4e2c11aa7641d34e29f68aecfc08aeb36e2ce8e005410e157a9b4e2a72b29d6

Observation 8cd21b4a-d4ea-45bc-826d-115b4d9073f3 · outbound

This paper cites Poly-encoders: Architectures and pre-training strategies for fast and accurate multi-sentence scoring.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Poly-encoders: Architectures and pre-training strategies for fast and accurate multi-sentence scoring

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:58.015920Z

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=2026-08-15T23:32:57.600590Z digest=sha256:258221df6fa4489bc16cda820400d273f0991ca00908a2ea8cc65cb7b7fb81dc

Observation bea74198-5fdd-409e-92a8-0a9f6f622b23 · outbound

This paper cites a rvelin and Jaana Kek \.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems a rvelin and Jaana Kek \

Reference 15

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raw_fallback, observed 2026-08-15T23:32:58.003858Z

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=2026-08-15T23:32:57.604027Z digest=sha256:8d7b823675db343d6486fca45397b5efdfd79092e70c13bad48c2013a7b468bb

Observation c85ab757-3a99-44cc-bdea-cd9b0c687e61 · outbound

This paper cites Optimizing search engines using clickthrough data.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Optimizing search engines using clickthrough data

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.991866Z

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=2026-08-15T23:32:57.607605Z digest=sha256:2291fb4bf69c818b7249139aa9644ff5e870e0c5cdbfaca2d4d803407a88a787

Observation b28db242-38d8-4021-9b43-c739b2b3f08e · outbound

This paper cites Colbert: Efficient and effective passage search via contextualized late interaction over bert.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Colbert: Efficient and effective passage search via contextualized late interaction over bert

Reference 17

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raw_fallback, observed 2026-08-15T23:32:57.978927Z

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=2026-08-15T23:32:57.610766Z digest=sha256:3a75caaf5f8056def8877ca0cc45499ae0752ebc6bcf45064244e163269f15f2

Observation 13d2a479-c3ff-4151-8432-13002c6a3ab0 · outbound

This paper cites Click-through prediction for advertising in twitter timeline.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Click-through prediction for advertising in twitter timeline

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.967905Z

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=2026-08-15T23:32:57.613883Z digest=sha256:86e10ad922d5f2fb5884e393a7777933a0b53188d91249b9a0c89aba820eb53f

Observation e8784f1d-6c49-43e6-a94c-00516160aa50 · outbound

This paper cites Learning to rank for information retrieval.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Learning to rank for information retrieval

Reference 19

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unresolved
no resolver link, observed 2026-08-15T23:32:57.617063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:32:57.617063Z digest=sha256:eb95eba4cef7b4795729386b4d99600e58a1265881675f1c6d8ff5536a436b9d

Observation b538ed84-de2f-4d0a-b3c9-d7b6251c0da1 · outbound

This paper cites Anatomy of a web-scale recommender system.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Anatomy of a web-scale recommender system

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.949310Z

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=2026-08-15T23:32:57.620933Z digest=sha256:90c72b32452f40de3724a1763c123bd82b11c605551b0d3bf377d8bcf17ebaac

Observation 1eaac96e-4cfd-4096-b296-12bd7d66e74b · outbound

This paper cites RepBERT: Contextualized Text Embeddings for First-Stage Retrieval.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems RepBERT: Contextualized Text Embeddings for First-Stage Retrieval

Reference 21

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:32:57.624615Z digest=sha256:ff0ffdf6b778433ff2d471ddef451d32ee53db30c772fa7ead7a31144e0ebe21

Observation 71207a13-b1cf-420c-be3c-c8fbd8d3cb81 · outbound

This paper cites Cedr: Contextualized embeddings for document ranking.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Cedr: Contextualized embeddings for document ranking

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.939138Z

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=2026-08-15T23:32:57.628216Z digest=sha256:a08662673912571c2bf219e709e781401f40eb990f259ace4a761e9154c7ed0d

Observation f44a4f62-a0f5-40f8-983e-8338fe6e1810 · outbound

This paper cites Discriminative models for information retrieval.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Discriminative models for information retrieval

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.927741Z

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=2026-08-15T23:32:57.631413Z digest=sha256:2a56dead47921cb94a5a742acd62d0fc2b37eeae63fccac1f5405f86d694bf06

Observation 81b59a6e-377d-4548-a3ad-1fcd4f30891e · outbound

This paper cites Passage Re-ranking with BERT.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Passage Re-ranking with BERT

Reference 24

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no resolver link, observed 2026-08-15T23:32:57.634592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:32:57.634592Z digest=sha256:7836cdbf218de78cda5eb7e8f536c882686269745b5c03e527f919a4a24c4eb5

Observation 03a24b2b-4ad7-4f34-b81e-b081e2e4b90c · outbound

This paper cites Multi-Stage Document Ranking with BERT.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Multi-Stage Document Ranking with BERT

Reference 25

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no resolver link, observed 2026-08-15T23:32:57.638124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:32:57.638124Z digest=sha256:11f260247c0027fddf90286c33b7944b8565f232d3309061b4163fcbc9e04e49

Observation a2025d3e-b98e-43a5-b73a-9052afd34203 · outbound

This paper cites Setrank: Learning a permutation-invariant ranking model for information retrieval.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Setrank: Learning a permutation-invariant ranking model for information retrieval

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.915663Z

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=2026-08-15T23:32:57.643048Z digest=sha256:d8db160f12f0d21d1df79bd33081585520714135fe3f4102f6aac78a79210000

Observation 0ee0835a-8295-4431-9cd3-52f1195e516b · outbound

This paper cites Learning diverse rankings with multi-armed bandits.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Learning diverse rankings with multi-armed bandits

Reference 27

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unresolved
no resolver link, observed 2026-08-15T23:32:57.646863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:32:57.646863Z digest=sha256:2b1b78a9b9fd88c11a8d184794db68ec6585ce59eb240dfd6aae0150ba9b877e

Observation 18c09704-dc84-41c1-9ce9-47ea723eb2cb · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Sentence-bert: Sentence embeddings using siamese bert-networks

Reference 28

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unresolved
no resolver link, observed 2026-08-15T23:32:57.650998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:32:57.650998Z digest=sha256:0230af3c4f3e7239c4fc7b79cad05cd3e3d9e36ef07f93315062237bb0ac4f50

Observation e0e4517a-9eb9-4ca0-9d56-152c2b8b5725 · outbound

This paper cites The probabilistic relevance framework: Bm25 and beyond.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems The probabilistic relevance framework: Bm25 and beyond

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.891399Z

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=2026-08-15T23:32:57.654651Z digest=sha256:5be87e30c049f0f69f69651f531afb0305b0d996190633dab7a2ed3887fde18b

Observation 8283193c-0879-4ce0-844a-529a0e8b454d · outbound

This paper cites Okapi at trec-3.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Okapi at trec-3

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.881081Z

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=2026-08-15T23:32:57.658972Z digest=sha256:b97ec509402f8835bb17786a40ddd851fda78fd560e6ee0c99435754dd599b69

Observation 2fbaebfe-43d3-44e8-ae98-847abd7512a5 · outbound

This paper cites Ranking distillation: Learning compact ranking models with high performance for recommender system.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Ranking distillation: Learning compact ranking models with high performance for recommender system

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.869284Z

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=2026-08-15T23:32:57.662888Z digest=sha256:359a0d60b8362bfd3eb1084a388eba802d864eb11ed1a86d883767ae628414e0

Observation edfa81eb-5dc4-4a43-bcbf-64accd99bf2e · outbound

This paper cites Softrank: optimizing non-smooth rank metrics.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Softrank: optimizing non-smooth rank metrics

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.858155Z

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=2026-08-15T23:32:57.666150Z digest=sha256:041b7e2d051b533d2ef2c4af07ae1adae6087f2cd34c5ea913ae695e6fe5c4c5

Observation 5e67074f-dd4d-4c81-b928-ec2e9dd43f8c · outbound

This paper cites Attention is all you need.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Attention is all you need

Reference 33

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unresolved
no resolver link, observed 2026-08-15T23:32:57.669963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:32:57.669963Z digest=sha256:5259f2a6d8f085aa6f121fdf75a9040a6adc9b54713327a278630fc9640a8556

Observation aeff9f20-480e-47a1-a279-d93da934f2aa · outbound

This paper cites Joint optimization of cascade ranking models.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Joint optimization of cascade ranking models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.840773Z

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=2026-08-15T23:32:57.673391Z digest=sha256:a350da48cb0f7cb29bec881f6d7176fa96dfcf52ec61526e08b84065a6cfc563

Observation 919c3782-899a-4408-8218-b32db15486d6 · outbound

This paper cites Adapting boosting for information retrieval measures.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Adapting boosting for information retrieval measures

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.830804Z

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=2026-08-15T23:32:57.677149Z digest=sha256:38a4a009d19ff9fd55ab77741d89f69af9584b6c8b53a94b56665af38429c6f3

Observation ff5f43bf-02c7-4f19-b782-330a61014a27 · outbound

This paper cites Listwise approach to learning to rank: theory and algorithm.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Listwise approach to learning to rank: theory and algorithm

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T23:32:57.681186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:32:57.681186Z digest=sha256:d7cac3efc1651e30d5663de339b04af54bebe315d06e91fcf319b2a4e3c15684

Observation dac70e50-9e84-4d55-acc8-581bb5164966 · outbound

This paper cites Mixed negative sampling for learning two-tower neural networks in recommendations.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Mixed negative sampling for learning two-tower neural networks in recommendations

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.809028Z

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=2026-08-15T23:32:57.684445Z digest=sha256:e06d1db0e04439f3d4b112f108ee3410a3629f0531f7bce261de40bfac2d3a12

Observation c6b07e60-0d22-40d6-8d11-a8dd9bdda2d6 · outbound

This paper cites A two-tower deep neural network for ad relevance prediction.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems A two-tower deep neural network for ad relevance prediction

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.797774Z

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=2026-08-15T23:32:57.688731Z digest=sha256:8f5abe82c260893c3ffd8843eb294dc792284805831b4e87e38406b6f0566b0b

Observation b1948fad-a8cc-470c-becc-5ba08f4a0084 · outbound

This paper cites A support vector method for optimizing average precision.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems A support vector method for optimizing average precision

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.784555Z

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=2026-08-15T23:32:57.692146Z digest=sha256:09b914dc04bb7b6f200140f9974d10f8d3e871bc37591320914fbbd1a5863429

Observation 579f4ae7-2ab1-4b95-8d5d-270664814363 · outbound

This paper cites Atrank: An attention-based user behavior modeling framework for recommendation.

Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Atrank: An attention-based user behavior modeling framework for recommendation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:32:57.772614Z

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=2026-08-15T23:32:57.694883Z digest=sha256:b445c3a50c6d21d506bed022fcce169d14d9a05b708a35442ff5155de450a3ec

Pith citing papers

No inbound Pith citation observations are available.