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Paper Citation Record · LEDGER

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2502.02199.

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

pith.paper-citation-record.v1
2502.02199 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:02:53.268609Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

43 of 43 outbound references displayed

  • verified exact12
  • verified fuzzy1
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4715d8d-fc3f-4627-94a9-c58ef1745fbc · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 1

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:02:55.010803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f370d184-efb6-4b57-ab42-15a6fd6a4d24 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-09T13:02:55.091676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.105236Z digest=sha256:c5487495176990deec9ef9ce4b751219eb0dc994bb006318aaf155cb8e5829df

Observation 0e059a1d-9bd1-4440-b642-c9d544812c23 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 3

Resolution
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arxiv_id_nonexistent, observed 2026-08-09T13:02:54.837905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.109071Z digest=sha256:42cbe059218c2c85bbb15a429fc3f0b2f0b9853fd33efc253b793b454ea66b97

Observation e471a90d-4957-47f0-9ddd-00872079e300 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.113410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.113410Z digest=sha256:638566d442a5a16bcde69d50e37fff2751bf8106f9352037a1e357ab0908e6cd

Observation 801e1e14-6cfa-4c15-8837-ade8c9730517 · outbound

This paper cites Efficient Prompting Methods for Large Language Models: A Survey.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Efficient Prompting Methods for Large Language Models: A Survey

Reference 5

Resolution
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no resolver link, observed 2026-08-09T13:02:53.117215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.117215Z digest=sha256:136244bc4817c723a3726aafceaf295213d029bd4160f595334694305911babb

Observation 8d53b456-d33a-42cb-be3b-6d476ffa40fb · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.121042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.121042Z digest=sha256:20e8431fb6439366688473d9ba1183e7c0235ffa85512f602f0ed99a941f9fee

Observation db764874-9ff8-420f-9aa9-5ce499332f03 · outbound

This paper cites Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs

Reference 7

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metadata mismatch
local_arxiv, observed 2026-08-09T13:02:54.673813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.125244Z digest=sha256:8c0063f60779ffbcd4201ea0a1926df062a481253714372a0958a302a8b64042

Observation 86a01086-f715-4acd-b283-bd2fe57b5c53 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 8

Resolution
verified exact
doi, observed 2026-08-09T13:02:53.464124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.128805Z digest=sha256:244f7ee0a0c756f69aaf4b6361cc2d83736a75bf827e71fef06925ea50023c5a

Observation 6a1d7701-6358-49fc-a661-b2460339fcc3 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 9

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no resolver link, observed 2026-08-09T13:02:53.132319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.132319Z digest=sha256:b917c3dbd919ab6f9624205ca6c4b896c2ecd6be9fcc98bc6849a42195f1c794

Observation 808a4ad2-9abf-4dff-acb0-3e775aca2b06 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 10

Resolution
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raw_fallback, observed 2026-08-09T13:02:55.082645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5b2b1c7a-5541-49b7-a358-d53bce086482 · outbound

This paper cites González-Castaño, and Enrique Costa-Montenegro.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks González-Castaño, and Enrique Costa-Montenegro

Reference 11

Resolution
verified exact
doi, observed 2026-08-09T13:02:53.437206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 28d3c987-4ee5-4651-90b6-fca2e95b9577 · outbound

This paper cites The Llama 3 Herd of Models.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks The Llama 3 Herd of Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.142471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.142471Z digest=sha256:99e9b8f68a56e7531175364506c6ece86d99b4a8f19944426f2f9e13a1cb84e1

Observation 2fc0acfb-5fe1-4469-8a0d-261a6916a64f · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 13

Resolution
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no resolver link, observed 2026-08-09T13:02:53.146359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.146359Z digest=sha256:6e9b6ddce408e0da56b520607c683bc7910a7bc2e9f3089cae787acaa872fbbd

Observation e8130cc7-3816-4da9-a9f6-6a0406ac299a · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 14

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:02:54.649416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.150339Z digest=sha256:552c7d86d9da666e151c92fed4705ee06c43ad8b3823a19b7d6bd265c840c915

Observation a3487e08-6d15-4af5-b93e-2b03e994ad4b · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-09T13:02:53.153374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.153374Z digest=sha256:a8ec2b6fda1eb33541fa25624a49411d96220ad62ff47159b9e07e22611a3dad

Observation 5fd62a4b-8f3c-4267-a3a8-67a08f8f48c3 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-09T13:02:53.156747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.156747Z digest=sha256:fbc227de237e6bfbaaf7de8c18bf026f1093d8252cf3d69e2b59b549ff5a6133

Observation 11a60c4d-1b4b-4181-9502-f95a9936930d · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 17

Resolution
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no resolver link, observed 2026-08-09T13:02:53.159891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0e4b7e11-7d18-42bc-8c1e-f423e0ef3225 · outbound

This paper cites Scaling Laws for Neural Language Models.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Scaling Laws for Neural Language Models

Reference 18

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no resolver link, observed 2026-08-09T13:02:53.162781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.162781Z digest=sha256:9f8cc7b226e2fc5376fd2719c2e96f621e1128c1be0472160cd8a5149f15e208

Observation c4baf684-cf31-4aea-bad5-a0721538b37c · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 19

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no resolver link, observed 2026-08-09T13:02:53.166260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.166260Z digest=sha256:34a229606fc66c3d7d774a1d3b6a798307e512ea820f89f546baae5d1dcf3067

Observation f3457cca-8cee-4c76-b3be-492d9acd2ee3 · outbound

This paper cites Cohn, and Janet B.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Cohn, and Janet B

Reference 20

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:02:54.340478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0e8a439c-0da6-4f17-adfe-a8221e1489c0 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 21

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no resolver link, observed 2026-08-09T13:02:53.173736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.173736Z digest=sha256:cf2a4ddb8fe892b647c539e19bd6e66ba9691ab7dfa5589680c648dbd9d2f651

Observation a344154d-48da-4ef8-82d9-25b4b8ebd33f · outbound

This paper cites Ivanova, Idan A.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Ivanova, Idan A

Reference 22

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no resolver link, observed 2026-08-09T13:02:53.177053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.177053Z digest=sha256:4902e882153ea6ef9e370312e8678fe45000ced6bc29db387581aecf67a12d70

Observation 8d5ddf4a-1dca-4656-a037-2853278c1a1d · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 23

Resolution
verified exact
doi, observed 2026-08-09T13:02:53.374497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.180545Z digest=sha256:bdcf191518f9f7acb2e281af2ab5d49f670c364bd8c934c9c204c03e6c718fa3

Observation 62dcb022-4d85-4b3d-9dea-fa3d2d9a6249 · outbound

This paper cites From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-09T13:02:54.179200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.183744Z digest=sha256:6eff8c1c1a28f41d89e5dc129c8aa3032a9d50b9dd8aa7a019faef4c441345aa

Observation aa08db51-a677-4da9-86c9-cbe9128a792f · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 25

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no resolver link, observed 2026-08-09T13:02:53.187019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.187019Z digest=sha256:1d11debf1f9fce553aff055161821b39d29b4259e2b2b715a4c578600ffa16a1

Observation 36af0bd8-29c2-4c9d-847f-ae8ee590c578 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 26

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no resolver link, observed 2026-08-09T13:02:53.190347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.190347Z digest=sha256:257a2c07c7530244fec4764cc97453b0b7c7f73bd2a90c9776a6b122ce0fbebb

Observation 5ef40a0e-66d5-404f-9190-93ba00624e2c · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 27

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unresolved
no resolver link, observed 2026-08-09T13:02:53.193792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.193792Z digest=sha256:f32ca93c63928b730508e4c9825259b9ed442c345349238a4cbaa61df20e8fe0

Observation 823162ff-cfec-41b2-b5fc-37dc0857326c · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:02:55.073322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1e52d4e3-7be2-40bf-9f46-d48f60c32ed6 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 29

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unresolved
no resolver link, observed 2026-08-09T13:02:53.200548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.200548Z digest=sha256:0bc3ec82a258d76e45187e6fa4fedc038b040a5fb9365598715bc8212f852689

Observation 879ee342-fd2b-421d-b536-189f9ce921cf · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 30

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:02:54.155791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation dfe4db32-f725-43fa-adaf-415ad0b2492a · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 31

Resolution
verified exact
doi, observed 2026-08-09T13:02:53.325779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6650da47-5886-40a7-bd34-b6631f2dbea6 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:02:55.064003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 685ab6be-fef2-406e-bf44-9c87fe13780c · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 33

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unresolved
no resolver link, observed 2026-08-09T13:02:53.213148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.213148Z digest=sha256:41945db21d08dea4022a03fd7b6abb301c894a4ff9ea0ef17c33efc785a034d5

Observation b185208f-c087-4356-bf5e-aab515705032 · outbound

This paper cites Understanding LLM Embeddings for Regression.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Understanding LLM Embeddings for Regression

Reference 34

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no resolver link, observed 2026-08-09T13:02:53.216311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.216311Z digest=sha256:e08b8bc0c190004f63caeb32a3c70aa6ee23a76288576236d6faa0d338a40f59

Observation cdbbef29-d75e-444a-93e3-fd99d4e05249 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 35

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unresolved
no resolver link, observed 2026-08-09T13:02:53.219756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.219756Z digest=sha256:e7ad4f33d018819d2231afc830d1d4e739c688cc96ae109d6302f39ffa009df6

Observation 12a2310a-c11d-4d2d-bcc3-1e710814808a · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 36

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verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:02:53.864223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.223160Z digest=sha256:d9afe36950048c3f208e050eb3fa538d235ff411f9e0dfee53ce10e73198b696

Observation 5bf70e6a-ad07-4030-b716-1f88553a528a · outbound

This paper cites Tjong Kim Sang and Fien De Meulder.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Tjong Kim Sang and Fien De Meulder

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-09T13:02:55.054278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.228197Z digest=sha256:0703f5382b2e5bc7734f44d4b1a4ab1b66c82552128e9d824834d8810454a099

Observation 2792ec6c-4275-429e-9531-b83955e28de0 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.234092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.234092Z digest=sha256:f02baa38fcb472cce20b602c61b23f1a22ace984123d5ba6c880de7c7df91478

Observation 659b0d7e-d487-457c-bf9f-345f51cccef6 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 39

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:02:53.689858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.240226Z digest=sha256:77bfd2866162ea5dcc090992c2e3829b986e9d4ed058633998951a65c4a7e0e7

Observation bba383f4-1428-439e-b704-11f9778c9b23 · outbound

This paper cites To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.245973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.245973Z digest=sha256:c3fea55a5e3e069e0a68f2859f84a6c7d51dc359615af9e09081a5f33a33422a

Observation c092d89a-9023-4255-8458-91704ae1b2cf · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:02:55.039144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.253348Z digest=sha256:1470204056045cb3b7b25f2c8b195d8204ff01bedff0d086365580990c6e87be

Observation ce01888f-cda5-4144-bb4e-2b4da157a9ab · outbound

This paper cites online" 'onlinestring :=.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks online" 'onlinestring :=

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.261087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.261087Z digest=sha256:d4d7ce951abba2e01cfe8a1eb5a52879f3b49c8a04691bf8276d2142f18b8a4e

Observation 1b67c10b-4ff8-440d-a7f8-56f410c174b5 · outbound

This paper cites write newline.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks write newline

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.268609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.268609Z digest=sha256:cb1fa03b84ad6ba69c654c5091cfe0bbb5cd3974163a6b65ee84a8257b3d9166

Pith citing papers

No inbound Pith citation observations are available.