Pith. sign in

Paper Citation Record · LEDGER

A Comparative Study of Specialized LLMs as Dense Retrievers

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.03958.

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

pith.paper-citation-record.v1
2507.03958 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:02:17.579702Z

measured 39 of 39 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

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 854ebd98-5a8b-4819-8084-2373e1ac9ced · outbound

This paper cites GPT-4 Technical Report.

A Comparative Study of Specialized LLMs as Dense Retrievers GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.465058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.465058Z digest=sha256:19c2af2a884780b729be511080b116f5a1731330e5176f168ab1cc5e81974903

Observation 442a03af-8834-4075-beb5-808e332791f1 · outbound

This paper cites Qwen Technical Report.

A Comparative Study of Specialized LLMs as Dense Retrievers Qwen Technical Report

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.468699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.468699Z digest=sha256:c06f8ca262e4f325a2df67b9abd22122010020e69f7c5cbbb141dcc25acbcedf

Observation 85fcf197-7ed4-4f6e-9db9-41b56a4998e2 · outbound

This paper cites Qwen2.5-VL Technical Report.

A Comparative Study of Specialized LLMs as Dense Retrievers Qwen2.5-VL Technical Report

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.472168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.472168Z digest=sha256:7b90f4ce092ac480e89fcd437e5cb09b93f69133af2ac06283767f2e1c66e4be

Observation 2568b648-a23e-4253-8467-396b7b21aff0 · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

A Comparative Study of Specialized LLMs as Dense Retrievers LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.475130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.475130Z digest=sha256:77cc909c8af2f1e2c77dce0f55bc205808572522f7a5baded459da803ce68789

Observation f031fbda-1606-4f42-996e-f51da30b3914 · outbound

This paper cites In: Advances in Information Retrieval: 38th European Conference on IR Research.

A Comparative Study of Specialized LLMs as Dense Retrievers In: Advances in Information Retrieval: 38th European Conference on IR Research

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:02:17.908341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:02:17.478412Z digest=sha256:08c903dadef11a83cc4014cf6f8a705913826e29cb014b9e19b02e24ccad8c83

Observation 782d666d-0c22-4f5a-be24-b4b23c80962d · outbound

This paper cites Pre-training Tasks for Embedding-based Large-scale Retrieval.

A Comparative Study of Specialized LLMs as Dense Retrievers Pre-training Tasks for Embedding-based Large-scale Retrieval

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.481375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.481375Z digest=sha256:6a5711ac6f2b69d101d9d169c95500dfa3792d5a2ac9bbda62b0f16f99cf3fdc

Observation 821fab9f-c30e-4a1d-945f-c60c95e91154 · outbound

This paper cites SPECTER: Document-level Representation Learning using Citation-informed Transformers.

A Comparative Study of Specialized LLMs as Dense Retrievers SPECTER: Document-level Representation Learning using Citation-informed Transformers

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.484691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.484691Z digest=sha256:e5a6901093377605d60d0044be655c75dfb0e0a7bc9f3be4267ccdef7b8f0963

Observation aa52116a-6c79-4f07-9587-f1bb80831c44 · outbound

This paper cites Overview of the TREC 2019 deep learning track.

A Comparative Study of Specialized LLMs as Dense Retrievers Overview of the TREC 2019 deep learning track

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.487779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.487779Z digest=sha256:9feec09665ab2c1d0fbe2e5dd8cc7fda32232ff1bb38922c0d38a98f19f2b760

Observation 4f1b0bb5-1ece-43d3-bc62-2da0b30ac764 · outbound

This paper cites Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval.

A Comparative Study of Specialized LLMs as Dense Retrievers Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.490750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.490750Z digest=sha256:4d972ec47319e20b81bebaf0c64611339f76f95ef55aec5b833f469136d172b0

Observation 635d2b74-bdc5-49a0-afc9-1125d7d68ad7 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

A Comparative Study of Specialized LLMs as Dense Retrievers DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.493634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.493634Z digest=sha256:9c5c9d0a62d481c0c8b0a462e4b936b0463ed6792f36a664fdf0b4d8807cb8b4

Observation 4b0a2e28-b1ba-4f94-a6b6-8f41dc9ca005 · outbound

This paper cites ACM Transactions on Information Systems (TOIS) 40(4), 1–42 (2022).

A Comparative Study of Specialized LLMs as Dense Retrievers ACM Transactions on Information Systems (TOIS) 40(4), 1–42 (2022)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:02:17.899179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:02:17.496634Z digest=sha256:a5392a2ca23cd9670e69070868fb560bdb5f95d116c76d66cc8316413fef5542

Observation 828e5854-a771-42c8-ba38-e8301f4a5603 · outbound

This paper cites In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management.

A Comparative Study of Specialized LLMs as Dense Retrievers In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:02:17.890502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:02:17.499523Z digest=sha256:19752430162ae7e4165f3a4f192ad35ab125745775cf6a1a5d78859d3577bf26

Observation eb2ed3e7-5690-41ed-b2a7-23b6d2001876 · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

A Comparative Study of Specialized LLMs as Dense Retrievers Measuring Coding Challenge Competence With APPS

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.502472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.502472Z digest=sha256:cbc3680e6501cefe61329784355bdb761256bfbf2a2379ae53cc8584a1e470dc

Observation e330e38d-9028-4140-9315-1f93a01225f5 · outbound

This paper cites CoSQA: 20,000+ Web Queries for Code Search and Question Answering.

A Comparative Study of Specialized LLMs as Dense Retrievers CoSQA: 20,000+ Web Queries for Code Search and Question Answering

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.505285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.505285Z digest=sha256:3cf6f6144a9ecda1c786dfc073f51cd46284a4b950437a191296012b4e467396

Observation 231c3b37-334b-471c-8790-764fba8d7ce1 · outbound

This paper cites Qwen2.5-Coder Technical Report.

A Comparative Study of Specialized LLMs as Dense Retrievers Qwen2.5-Coder Technical Report

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.508271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.508271Z digest=sha256:040439777a9545d672158747a9c115299776eb3fb6864c6225a30d20475ddd25

Observation a885932a-c481-429c-a065-c8b4ff2331ac · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

A Comparative Study of Specialized LLMs as Dense Retrievers CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.511259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.511259Z digest=sha256:263d3e33943b9ecba6d2ee7e183138673f151254a40f6afeb39c42b99fcd2d99

Observation ff1a4a88-5efc-41aa-aab4-85cc7e92ef59 · outbound

This paper cites In: EMNLP (1).

A Comparative Study of Specialized LLMs as Dense Retrievers In: EMNLP (1)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:02:17.881925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:02:17.514060Z digest=sha256:6c680ada442c8ebf87f06af9c27fe93109ddfbe9062dded137b6aaf7371ff0fb

Observation 3a919080-33dd-415b-aa22-1dc15f126c9c · outbound

This paper cites In: Proceedings of the 62nd Annual MeetingoftheAssociationforComputationalLinguistics(Volume1:LongPapers).

A Comparative Study of Specialized LLMs as Dense Retrievers In: Proceedings of the 62nd Annual MeetingoftheAssociationforComputationalLinguistics(Volume1:LongPapers)

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:02:17.873466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:02:17.516788Z digest=sha256:0e8a23d2937b2c9566fbb50d99f6af8ff9121482e447b822955f9a79c96a6928

Observation 4aee729d-b5c4-48cb-a4a1-c6a3b465c109 · outbound

This paper cites CoIR: A Comprehensive Benchmark for Code Information Retrieval Models.

A Comparative Study of Specialized LLMs as Dense Retrievers CoIR: A Comprehensive Benchmark for Code Information Retrieval Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.519551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.519551Z digest=sha256:ea1c30cf1eb95e8c8176c1a1afb71417c872ddc5992498dc5a36652c53ab7557

Observation cc30461a-a760-4c12-91cc-f12ca4ed34cd · outbound

This paper cites DeepSeek-V3 Technical Report.

A Comparative Study of Specialized LLMs as Dense Retrievers DeepSeek-V3 Technical Report

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.522521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.522521Z digest=sha256:aee4af5cdbfcb415fea5e94d14edade6689898cd61d413f612100c33c745a87f

Observation 6cb00321-186f-4ed3-91ff-413dbd228898 · outbound

This paper cites In: Proceedings of the 14th ACM international conference on web search and data mining.

A Comparative Study of Specialized LLMs as Dense Retrievers In: Proceedings of the 14th ACM international conference on web search and data mining

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:02:17.865043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:02:17.525716Z digest=sha256:0f5a27885df012e2d0b0525f5b5212cbfa76c9ff31fbbf69c975dcc6b621bd9b

Observation 676ee17f-ef23-4ab2-b5f7-9dec4f94e8a9 · outbound

This paper cites In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval.

A Comparative Study of Specialized LLMs as Dense Retrievers In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.528467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.528467Z digest=sha256:ba29b4ab484e91e2288ae2bf60478fefb1926a22a529de06a722ed6e6987619d

Observation 73bf5755-79d0-4808-b843-43d965e8d04f · outbound

This paper cites In: Companion proceedings of the the web conference 2018.

A Comparative Study of Specialized LLMs as Dense Retrievers In: Companion proceedings of the the web conference 2018

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:02:17.851147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:02:17.531268Z digest=sha256:08e53623984360db9777728ba961456ec7d1176f89d4f89f0a03c1f2bb969b7e

Observation 6f3bfc7c-a70b-4f2b-b225-09996e9e046b · outbound

This paper cites an unresolved cited work.

A Comparative Study of Specialized LLMs as Dense Retrievers Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.534060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.534060Z digest=sha256:9bd102e3758529332541d5d27ac95aa8f90c20794ed4bd4885380e77f691c878

Observation ff23b9f7-be72-4646-8054-f3142a55b78d · outbound

This paper cites RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering.

A Comparative Study of Specialized LLMs as Dense Retrievers RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.536736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.536736Z digest=sha256:7e75c0136385cbbb2746c884e513627974836021360c4dc506536ea2e3ebfb00

Observation 9137360b-40ce-4309-a23e-7472a8a64c0c · outbound

This paper cites Foundations and Trends® in Information Retrieval 3(4), 333–389 (2009).

A Comparative Study of Specialized LLMs as Dense Retrievers Foundations and Trends® in Information Retrieval 3(4), 333–389 (2009)

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.539895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.539895Z digest=sha256:b8dfdd91c041dfb5c17e580578c6497749a040f4660cae4a7a778150c230a7a4

Observation 03d33564-cf56-463a-9820-41613b9a77df · outbound

This paper cites Repetition Improves Language Model Embeddings.

A Comparative Study of Specialized LLMs as Dense Retrievers Repetition Improves Language Model Embeddings

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.545554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.545554Z digest=sha256:3e657ab12b6b9e1889e808995ac1f3e6bd33c7847b5b1b19fb3efdbf2096c2c7

Observation 056a2f6c-d168-459a-8fcc-fc94e34b9720 · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

A Comparative Study of Specialized LLMs as Dense Retrievers BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.548328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.548328Z digest=sha256:1b0e8d6a60283f89276bb933e4b7e46c3821e1e024a10062806f5a71de37933c

Observation 72686ba4-8562-4587-b90d-6dd389bb346d · outbound

This paper cites Advances in neural information processing systems30 (2017).

A Comparative Study of Specialized LLMs as Dense Retrievers Advances in neural information processing systems30 (2017)

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:02:17.831924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:02:17.551037Z digest=sha256:70ce4d0a24b03901541eb6439a414a04628a4faf9c6067afabcdf02f82090c40

Observation 46c7383a-abd4-4cdc-a123-9c2854382687 · outbound

This paper cites In: Proceedings of the 56th Annual Meeting of the Associ- ation for Computational Linguistics (Volume 1: Long Papers).

A Comparative Study of Specialized LLMs as Dense Retrievers In: Proceedings of the 56th Annual Meeting of the Associ- ation for Computational Linguistics (Volume 1: Long Papers)

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:02:17.822780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:02:17.553755Z digest=sha256:52f9620f45a78b6ae754bcb8df667d3a0f2b286ead3a4663addbf074c728365f

Observation 270c3903-7e25-44da-9f8f-da99973dd403 · outbound

This paper cites ArXiv pp.

A Comparative Study of Specialized LLMs as Dense Retrievers ArXiv pp

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:02:17.812919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:02:17.556367Z digest=sha256:f12c1f8012a40cd3a4ef404a79577ab576a35abc428bb32c818352bae5e32c12

Observation 603beeba-0ff1-42ae-8345-fc056fe0308c · outbound

This paper cites RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder.

A Comparative Study of Specialized LLMs as Dense Retrievers RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.559134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.559134Z digest=sha256:41231ba3981b53fc245d170ab0a57ec4e33aa8c2d622c9679b6fae4313a81345

Observation 3720365f-149c-4d0e-bcee-875018218545 · outbound

This paper cites CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation.

A Comparative Study of Specialized LLMs as Dense Retrievers CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.562096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.562096Z digest=sha256:8976013d941514d04b2c27f2f1e5eccbf6748290a23efa82951df8c1805db366

Observation 3716bc0e-dbc5-4272-90fb-58de0a8acf26 · outbound

This paper cites an unresolved cited work.

A Comparative Study of Specialized LLMs as Dense Retrievers Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:02:17.804007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:02:17.565049Z digest=sha256:af4cf6f273bb146628001dfa52b1e84c898d1cff8555114dd0b2e667f4223138

Observation eb79e5d9-0fa8-44d4-ba4f-954ba4973e3a · outbound

This paper cites an unresolved cited work.

A Comparative Study of Specialized LLMs as Dense Retrievers Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:02:17.795351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:02:17.567625Z digest=sha256:d11af82b529999a57b044d31837f545db94d6238646ac6973bc4bbe0a24fc7e6

Observation 841405b3-7dfa-4620-8e67-f5c3d5a98698 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

A Comparative Study of Specialized LLMs as Dense Retrievers Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.570832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.570832Z digest=sha256:e67a977aeb9cb1a41f1bd4fff4e763952781a96dd538be0ef909337594626ab1

Observation 057b6639-3b32-42f4-93a3-4592e5fe93d2 · outbound

This paper cites Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling.

A Comparative Study of Specialized LLMs as Dense Retrievers Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.573803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.573803Z digest=sha256:abc4e6f6e63d35907a1ef35d1c523f69836bde58e4fec58be51e2b302f677b75

Observation 1dbd9ed9-4ea8-47bf-916a-e11d9a3c8de1 · outbound

This paper cites OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement.

A Comparative Study of Specialized LLMs as Dense Retrievers OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.576803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.576803Z digest=sha256:adceff81565a37f293e72caff8923e9cb0a616a2ac75369e29ecf1db3b7c4aea

Observation f48b94ca-507d-4191-a4ed-859f9afd502c · outbound

This paper cites PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval.

A Comparative Study of Specialized LLMs as Dense Retrievers PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:17.579702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:17.579702Z digest=sha256:faec07008de5cbbfb9c8fd92d78de275ab2ecc1a9df6e5b8770fa14b17f00f84

Pith citing papers

No inbound Pith citation observations are available.