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Paper Citation Record · LEDGER

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems

As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2505.11388.

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

pith.paper-citation-record.v1
2505.11388 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:58:10.321240Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

27 of 27 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b4e96bc-1424-402d-8021-da1f46ed89e6 · outbound

This paper cites an unresolved cited work.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.201780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.201780Z digest=sha256:8c7c1863b280536c460cd50b18a9a557f3a00b6d9549311ca7e0de60d67ed5e9

Observation 1dec4497-8977-42ba-9b0c-95789af9a4cb · outbound

This paper cites an unresolved cited work.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.210676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.210676Z digest=sha256:ab578daa3fdccae436a117f945f995d3a78b72c5f30ad231f436345cc02ec53c

Observation 08b60d8e-0e95-4a91-b8e1-ddd8ab9dbb7d · outbound

This paper cites an unresolved cited work.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.215138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.215138Z digest=sha256:8331e5543c091e11c070b962eaea216b70c834cf0837a8c34d5524a576b3eaed

Observation 8b2cdf55-1560-439b-9860-2a20a699a141 · outbound

This paper cites an unresolved cited work.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Unresolved cited work

Reference 4

Resolution
verified exact
doi, observed 2026-08-15T20:58:10.359244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 833bb8ce-b330-47d2-80e7-ad2120bb203c · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.219320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.219320Z digest=sha256:a5bfdf2025d73ecc61e22e346abc86aaed0363b90c1c0dc5b921f69ec285c866

Observation 9aedcb0b-527a-4d7a-8ad8-cef7bac06d23 · outbound

This paper cites Post-Training 4-bit Quantization on Embedding Tables.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Post-Training 4-bit Quantization on Embedding Tables

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.233293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.233293Z digest=sha256:1c6a0e675ce74f227a2f776cc129b95dcefcf315f634aea685856d05c18fb732

Observation ad8ee3bc-2bea-4c47-87a3-4d022fc2c03e · outbound

This paper cites Scaling and evaluating sparse autoencoders.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Scaling and evaluating sparse autoencoders

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.228597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.228597Z digest=sha256:1d94513a5d407c20659371ab7b0369e6ace4ea1d9d649b4cce95222aaaffc15d

Observation ff8c6637-b9b1-45a0-94d8-786784af7ccf · outbound

This paper cites Matryoshka Representation Learning.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Matryoshka Representation Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.241980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.241980Z digest=sha256:1d2edf9829036020b26744682402261b33ddf4ed562f47306362e636316b9aa0

Observation 20923b90-f9b5-41fe-a92d-9635d5eee38f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Adam: A Method for Stochastic Optimization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.237491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.237491Z digest=sha256:d88128558e4d06b1d92d1c3df1560fa77403028747ac824261c54b37c16f4ecd

Observation 14a129c7-7720-46e4-9db8-84eb59ab468d · outbound

This paper cites an unresolved cited work.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:58:10.756179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:58:10.250317Z digest=sha256:4e76244457c2987d7eecc0210d355382f35d8dc4932818efad2191a923e41791

Observation ff2a5dcd-f2d7-4713-a95d-192cc1a38e5c · outbound

This paper cites an unresolved cited work.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:58:10.769079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:58:10.245853Z digest=sha256:5144575a1a972f2d45f2564128618eedd8c3c2826e3943f3815ff3f9ac28b2b4

Observation 3431a073-388a-4c4d-bfc4-85925d0cae9d · outbound

This paper cites k-Sparse Autoencoders.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems k-Sparse Autoencoders

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.258459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.258459Z digest=sha256:6e66e92f05c712574c5bc77b1cb940c4363dfc1d82af55ba244918bc6037af5c

Observation 34806373-5fa6-49f7-840a-926375941e17 · outbound

This paper cites Monolith: Real Time Recommendation System With Collisionless Embedding Table.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Monolith: Real Time Recommendation System With Collisionless Embedding Table

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.254066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.254066Z digest=sha256:b0a1195f297c7c8cd8d2e5109df525bf748050e58e9ec25f3cb3a72455f05510

Observation 33cec9db-d465-4d46-82bc-07df8f834c4e · outbound

This paper cites Morris, Brandon Duderstadt, and Andriy Mulyar.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Morris, Brandon Duderstadt, and Andriy Mulyar

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.272857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.272857Z digest=sha256:ade6dcbebc75d7af26ce8f89fafad089330d9965f6aac919c804405872ea94f4

Observation 9c05ca56-f68a-4d5f-af9b-622001d71ccf · outbound

This paper cites Malkov and D.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Malkov and D

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.263959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.263959Z digest=sha256:f2dcc2110620db50f20e19d3f2cbdf544d86f46531948b7b9b90bcfe3770ecd7

Observation d19b94e1-cb8f-496a-a37a-40e02ff75beb · outbound

This paper cites an unresolved cited work.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.291052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.291052Z digest=sha256:621da2adfd7487ac839869288bff0d21723eedd870046781d6b6cc6273905561

Observation fd5c8839-3411-4a3a-a114-2a96a67396e1 · outbound

This paper cites an unresolved cited work.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:58:10.694538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:58:10.296261Z digest=sha256:f8ca433074f04a888fc19ba5e7dc35c70456dcb655bd78bee5cf0a7d90d594f4

Observation ff4a2402-f90a-4ef4-956f-0d724512cf8d · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.301227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2f4b5a17-e754-4669-a765-522d8ccc66df · outbound

This paper cites an unresolved cited work.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:58:10.717963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d4ed147a-4f67-41c7-a8d4-5adf7e24f43e · outbound

This paper cites In Proceedings of the 18th ACM Conference on Recommender Systems (Bari, Italy) (RecSys ’24).

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems In Proceedings of the 18th ACM Conference on Recommender Systems (Bari, Italy) (RecSys ’24)

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.286776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.286776Z digest=sha256:1d065364611ca2a1ec141d00db2272f75f66fa7b7e441e5f65d5d72a32a23585

Observation 73c192f0-0f11-443b-b03b-f39f6cb76c4f · outbound

This paper cites Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.321240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7ece7991-e31c-4c27-9cc2-7026fbbd4d65 · outbound

This paper cites an unresolved cited work.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:58:10.677752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5e342e9a-199a-4818-958c-da32325e4238 · outbound

This paper cites Transformer Circuits Thread.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Transformer Circuits Thread

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation dd079e8e-5605-4819-9a1f-d2faf2a4c7c0 · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.316555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.316555Z digest=sha256:49fc595b352750dc0afa8905bfbf12b6622eb244121854648b2ed1641c98a9bd

Observation db1b4dcf-444d-4925-9587-4128d62ed2a7 · outbound

This paper cites an unresolved cited work.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Unresolved cited work

Reference 836

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.268359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.268359Z digest=sha256:211d3e70d31ac83a83082a939cb89e5cc8b97264453d25644081c607b69a4dd1

Observation fa567485-7b91-424b-bc62-b1d7c672918e · outbound

This paper cites Transformer Circuits Thread 2 (2023).

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Transformer Circuits Thread 2 (2023)

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.206306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.206306Z digest=sha256:f512159e1b8d04520bbce65bc70d8edaa45bd3143cc4e9cf926db6375c100091

Observation e8bbeb9a-4ebb-457d-a889-6b3de7588d6b · outbound

This paper cites Nomic Embed: Training a Reproducible Long Context Text Embedder.

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.277293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.277293Z digest=sha256:b89429ad9d9a0a9fe5739e9179d93ee8088aabac1a85f52e41014d23f125f2de

Pith citing papers

No inbound Pith citation observations are available.