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Paper Citation Record · LEDGER

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG

As of 14 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2412.06078.

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

pith.paper-citation-record.v1
2412.06078 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:06:06.033298Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:33:43.179510Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c05fe77a-2b43-4fbb-a36a-1509f4bfd475 · outbound

This paper cites GPT-4 Technical Report.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-11T20:06:05.767148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.767148Z digest=sha256:88c9f56b95c7a1251e4ee2a9b06e8d509dbd9ef4d06ac558eaeed64dd0d8b636

Observation 60aa2f94-bda1-491e-8a0d-21966b88b88b · outbound

This paper cites Understanding graph-based rag and multi-hop question an- swering.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Understanding graph-based rag and multi-hop question an- swering

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:06:07.230512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:06:05.774924Z digest=sha256:90545c77a6f11b3c3742578935e33ef8ea00e535724cc2037ffcaf665c122e47

Observation 931769e3-ae50-4dc0-857c-4ec4961bf346 · outbound

This paper cites Model card and evaluations for claude models, 2023.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Model card and evaluations for claude models, 2023

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:06:07.213257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:06:05.779717Z digest=sha256:bce90d7a28824508bef7dd9e5e598ff3d2eab906a6431e8082e8bb16d0dfdf74

Observation c6ba11ba-c42a-4dbe-886e-635ec7b3057c · outbound

This paper cites The anatomy of a large-scale hypertextual web search engine.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG The anatomy of a large-scale hypertextual web search engine

Reference 4

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no resolver link, observed 2026-08-11T20:06:05.784500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.784500Z digest=sha256:1cc3a2d72a03d79896b58594542667dfc2055006c950a9f08ae6063b1b2d87b1

Observation f90d5745-f1f2-46a5-af84-ca5d7fa18170 · outbound

This paper cites An analysis of fusion functions for hybrid retrieval.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG An analysis of fusion functions for hybrid retrieval

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:06:07.185128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:06:05.790877Z digest=sha256:1365de21f7f556130fcacb46e28a9ea8d3747f7a60a648fb0dac8d4bc31096a2

Observation 6f1c7e2e-0d91-425d-a611-e9c7ca2918ff · outbound

This paper cites Recurrent memory transformer.Advances in Neural Information Processing Systems, 35:11079–11091, 2022.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Recurrent memory transformer.Advances in Neural Information Processing Systems, 35:11079–11091, 2022

Reference 6

Resolution
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no resolver link, observed 2026-08-11T20:06:05.796612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.796612Z digest=sha256:14a8bbc51e38834b1fc7bb1eabaf5a728015f811f0885d030706f60282ea1ee5

Observation e1823350-04d1-4151-9b17-1f1839a9f2da · outbound

This paper cites Adapting Language Models to Compress Contexts.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Adapting Language Models to Compress Contexts

Reference 7

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no resolver link, observed 2026-08-11T20:06:05.803502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.803502Z digest=sha256:4dbbb25996126bc447bbd61566fbc27dc21a760a120414bb2982ed9543788008

Observation 232d03c1-a669-4663-b110-ccf0dbe91faf · outbound

This paper cites The Faiss library.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG The Faiss library

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T20:06:05.809012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.809012Z digest=sha256:c233d5701286a56b2d1108eb519ea3963411f13b5319c0478ddfe6b633500bc1

Observation bcc8eb36-7cb1-4f40-a219-177845cfed7a · outbound

This paper cites The Llama 3 Herd of Models.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG The Llama 3 Herd of Models

Reference 9

Resolution
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no resolver link, observed 2026-08-11T20:06:05.814916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.814916Z digest=sha256:ad5eb45b2eb9233eb80ef8525cfd4871549462b5a8a44cc9aa600983aeb4c9f1

Observation 7eb60a56-dd0e-44e4-8fe8-4278338452bf · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 10

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no resolver link, observed 2026-08-11T20:06:05.821234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.821234Z digest=sha256:a09740bb918d44227bed7081b44035b8ad7336c16c32e7b2c2f1e818fe29c3a9

Observation 224a8a0c-32fe-4126-8753-894b3526b09d · outbound

This paper cites Human-like episodic memory for infinite context llms.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Human-like episodic memory for infinite context llms

Reference 11

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no resolver link, observed 2026-08-11T20:06:05.826679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.826679Z digest=sha256:8562aca68b91e5ff6635e43bb4d6a89b000c876800752da0a9cae8c1c4caacce

Observation 9eb3d373-d48f-42ca-a7a6-0d9f6271da77 · outbound

This paper cites Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T20:06:05.835348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.835348Z digest=sha256:2838eaed32c6f2284c9e8e8f572761957bcceee79006c73a72f1eec080908ed9

Observation 164fbc0e-5314-49d2-9e04-dc91bafe45a6 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T20:06:05.840538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.840538Z digest=sha256:dd288604317af7e8a0b0876113e8256278761291aaa84a9aa516404e54328ff7

Observation 1e02667d-16e0-495f-aba8-256d62f409a5 · outbound

This paper cites LightRAG: Simple and Fast Retrieval-Augmented Generation.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG LightRAG: Simple and Fast Retrieval-Augmented Generation

Reference 14

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unresolved
no resolver link, observed 2026-08-11T20:06:05.844818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.844818Z digest=sha256:b94d774ea32d4e3a14c57c53d37bbe9ab9f4713bb34fc61df4b8054e661addec

Observation 1551ef41-3da9-4316-8e06-a0788ade4bf0 · outbound

This paper cites HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Reference 15

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no resolver link, observed 2026-08-11T20:06:05.849197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.849197Z digest=sha256:b331280872f5b75ef4fa5807fd7b135e07f2f7499eb9eaab3a5c9a207b71b9ef

Observation 6514c521-d813-444a-92f1-1c9b061b39f1 · outbound

This paper cites Exploring network structure, dynamics, and function using networkx.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Exploring network structure, dynamics, and function using networkx

Reference 16

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no resolver link, observed 2026-08-11T20:06:05.855604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.855604Z digest=sha256:d38a9d2ef6afa49c2d03ac036b392a078d2f331ab56b689e350b2d5c9a5d924d

Observation ea139aef-55fc-4470-811f-e15c75deffa4 · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 17

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unresolved
no resolver link, observed 2026-08-11T20:06:05.868838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.868838Z digest=sha256:c99347402ece41746b772de1c86f3b22e50c4699b689bedf015f52f74e2748f4

Observation 488db259-8024-4141-9c6e-2b3f706d4e19 · outbound

This paper cites GPT-4o System Card.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG GPT-4o System Card

Reference 18

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no resolver link, observed 2026-08-11T20:06:05.873760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.873760Z digest=sha256:3cfef53c97b895729f82f4686fe9c36779c0510bb84983e518101c6e5f3d607d

Observation 2e2b1987-90d4-4cad-92d9-e8834f9a87c3 · outbound

This paper cites Needle in a haystack - pressure testing llms.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Needle in a haystack - pressure testing llms

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:06:07.140588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:06:05.878588Z digest=sha256:49206401e48714df86aaf0a8e93bcf54350dbf89252c91db432392c180379680

Observation 725ecfec-196b-466e-b0e2-a234435b76c9 · outbound

This paper cites One Thousand and One Pairs: A "novel" challenge for long-context language models.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG One Thousand and One Pairs: A "novel" challenge for long-context language models

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.889259Z digest=sha256:f9aa5070afefe2b9a18df1f7780e71507f0c00e44bd3b2864bfc924bce28254d

Observation b67f7bf4-c889-4ec8-9a20-974c284c0b09 · outbound

This paper cites Extended Mind Transformers.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Extended Mind Transformers

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:06:06.533512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:06:05.893736Z digest=sha256:afdd625485f5a13bf9f8f82316757da636feae5fca9a971809db7499fa4283b7

Observation 304ab6f8-60ef-4b93-a8b3-b954fccc90b4 · outbound

This paper cites BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

Reference 22

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no resolver link, observed 2026-08-11T20:06:05.898357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.898357Z digest=sha256:ad9f80a02992a13988c055e8a730224e641ca40bf44359fdd6c387df78b86a44

Observation 80a16104-d1e5-4b1f-93ae-ad8452af7040 · outbound

This paper cites Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 23

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no resolver link, observed 2026-08-11T20:06:05.904222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.904222Z digest=sha256:6ec6b1ebd4a277a884c0d057e825282c90dedae731441d461044448a5716e520

Observation 288a013e-16dc-4737-8366-961ee05c271c · outbound

This paper cites Needlebench: Can llms do retrieval and reasoning in 1 million context window? arXiv preprint arXiv:2407.11963, 2024.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Needlebench: Can llms do retrieval and reasoning in 1 million context window? arXiv preprint arXiv:2407.11963, 2024

Reference 24

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no resolver link, observed 2026-08-11T20:06:05.908984Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.908984Z digest=sha256:463c9ff19a759489dfd3162d726814b2f19402af95ff694d71264258a708950b

Observation d139f10e-3dd4-4346-8000-bca103955b19 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 25

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no resolver link, observed 2026-08-11T20:06:05.913662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.913662Z digest=sha256:fb729ecc5ff15af2681f3e873729285724dc322e3bba075cb3f72b35322a2602

Observation b96da265-6027-42d8-aeb6-883f99e4362a · outbound

This paper cites Efficient algorithms for personalized pagerank.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Efficient algorithms for personalized pagerank

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:06:07.121063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:06:05.918720Z digest=sha256:6037d550f87db5d2fd0ac315e16ce9c929a863c3eb95dd38dbae14972650adcf

Observation ac8dff96-0687-4706-98ca-d220334e62a6 · outbound

This paper cites https://magic.dev/blog/100m-token-context-windows, 2024.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG https://magic.dev/blog/100m-token-context-windows, 2024

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:06:07.103799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:06:05.926556Z digest=sha256:3eeb24d0900e0aa1c7b2ab2efe0d679aad927c0ed7fe58648fd59ff2ad376b85

Observation f8f72c75-5a98-4c1e-ae6e-19f90e1cc0dd · outbound

This paper cites https://github.com/NVIDIA/RULER.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG https://github.com/NVIDIA/RULER

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:06:07.084150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:06:05.931368Z digest=sha256:5588bc910a1873f62063eb516655ba2be050dec8d5bef95e7deac418efeffebf

Observation d210e5fd-837a-4c80-bb2d-5628f8c5d13d · outbound

This paper cites Scikit- learn: Machine learning in python.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Scikit- learn: Machine learning in python

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:06:07.061715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:06:05.941240Z digest=sha256:f7a0b4e39c3fc7ca549f073ebac54a85aef59794803caf5f62ce0a80433dfa7b

Observation dd1bb655-3f80-43a5-9a61-b9e90834e929 · outbound

This paper cites Graph Retrieval-Augmented Generation: A Survey.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Graph Retrieval-Augmented Generation: A Survey

Reference 30

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no resolver link, observed 2026-08-11T20:06:05.947707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.947707Z digest=sha256:473d9fd266e6f3d01ffdb4e1740e5bef993255e5e2f05dad5dca7928d04cd0fb

Observation db6d8cc9-b0ed-4159-9223-5bc1f64754cc · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG YaRN: Efficient Context Window Extension of Large Language Models

Reference 31

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no resolver link, observed 2026-08-11T20:06:05.952673Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.952673Z digest=sha256:4017d29bb8a1282fbf604488967a1fc2ec8f20b14fd597c3f6904d32e590a300

Observation d8ccad8e-f8cd-45aa-ac7e-dfc144fe8c8c · outbound

This paper cites Compressive Transformers for Long-Range Sequence Modelling.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Compressive Transformers for Long-Range Sequence Modelling

Reference 32

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no resolver link, observed 2026-08-11T20:06:05.957497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.957497Z digest=sha256:2ad342c097b89b7be0c9d1f0a64a7f8ec7c05acd53bca6bcc34bff97e2bc25fa

Observation e072442b-140d-4020-98ea-fe7db02349ac · outbound

This paper cites Babilong leaderboard.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Babilong leaderboard

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:06:07.046167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:06:05.965085Z digest=sha256:00e3ae00dc80011a8a2dd580c4e2e9a200273a8897d08f697529c0ee1f1eda55

Observation 9370050c-8cc0-4890-9992-b98dd035e79a · outbound

This paper cites Associative Recurrent Memory Transformer.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Associative Recurrent Memory Transformer

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.970616Z digest=sha256:3d72dcc9a79187a42a69f94d6a31d7e9a15f9ac54d3108bf2d2b9a3d7abb230e

Observation a38bfdd5-2860-4b38-8180-a5190ffacfbb · outbound

This paper cites Term-weighting approaches in automatic text retrieval.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Term-weighting approaches in automatic text retrieval

Reference 35

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no resolver link, observed 2026-08-11T20:06:05.975276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:06:05.975276Z digest=sha256:96150bf5a5bd13af7832f0c36efdeb137c995c7ed2ab14b2384b27b6e26ea4ed

Observation d91ce2a1-ae28-420c-a28f-5491f960b463 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Roformer: Enhanced transformer with rotary position embedding

Reference 36

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source=pdf_text observed=2026-08-11T20:06:05.985643Z digest=sha256:a978c9e10c124a7c5d3a474eb23ef0bb25c0570b0ab117cc1633a0286799a381

Observation 4b505177-27fd-4dc5-9845-775d31086490 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 37

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source=pdf_text observed=2026-08-11T20:06:05.991002Z digest=sha256:9c5d3e2ee73ec03e0c6cde7113cdf266c558ddf26abce06d0e3d16b778da5332

Observation b7b385d9-f3c2-4bcf-bce0-cc1403a8b9a4 · outbound

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

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J

Reference 38

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unresolved
no resolver link, observed 2026-08-11T20:06:05.997954Z

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source=pdf_text observed=2026-08-11T20:06:05.997954Z digest=sha256:94a1331a88bf3462b1af187a46613be246b23c329f340688e308d011ff59e909

Observation 5d52ab95-3fbe-4851-a47b-1aac77db9320 · outbound

This paper cites Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries

Reference 39

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no resolver link, observed 2026-08-11T20:06:06.002881Z

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source=pdf_text observed=2026-08-11T20:06:06.002881Z digest=sha256:f13df377b3a5ff5ae0ae3c064111680a6248586ccdc41f781e34db324ffff0f4

Observation df1b33e6-5520-421f-a7a9-9f666c7386b9 · outbound

This paper cites Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T20:06:06.008437Z

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source=pdf_text observed=2026-08-11T20:06:06.008437Z digest=sha256:a2a132bdbbf104d90117d9ba668745985e3d10bd63ca61703d36653a43b309e8

Observation 3d536184-0f04-4f95-af3d-dbee9f900c20 · outbound

This paper cites InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory

Reference 41

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source=pdf_text observed=2026-08-11T20:06:06.013221Z digest=sha256:6e60189811b2e4540d0d33c2fb0a2336e0466b522595e74b0ab9fabde4c41f9c

Observation 920fcb9b-ca75-4110-bcaf-2abadfbcafff · outbound

This paper cites In Defense of RAG in the Era of Long-Context Language Models.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG In Defense of RAG in the Era of Long-Context Language Models

Reference 42

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no resolver link, observed 2026-08-11T20:06:06.018310Z

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source=pdf_text observed=2026-08-11T20:06:06.018310Z digest=sha256:81803c1dc4f3ca36fa3759e6760f40ee9b70cd1f3345196797506cccdd5f87f9

Observation bdafa919-6b7c-4d39-9552-beaa3c4f4aef · outbound

This paper cites Long Context Compression with Activation Beacon.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Long Context Compression with Activation Beacon

Reference 43

Resolution
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no resolver link, observed 2026-08-11T20:06:06.022756Z

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source=pdf_text observed=2026-08-11T20:06:06.022756Z digest=sha256:c907074f73206f867f4c294741e195a4be8e7af65a420ef92d22a7a092004a61

Observation 7708582e-0b3f-4dcf-b982-a52af04bac5d · outbound

This paper cites Infinitebench: Extending long context evaluation beyond 100k tokens.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG Infinitebench: Extending long context evaluation beyond 100k tokens

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:06:06.986201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:06:06.028558Z digest=sha256:6674a3d11f1148ada84c6f824fbc5516b51f7ca72401ba5688fbb0347bb033a4

Observation e72255cb-be01-4b92-b11c-189b19a83c95 · outbound

This paper cites LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering

Reference 45

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no resolver link, observed 2026-08-11T20:06:06.033298Z

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source=pdf_text observed=2026-08-11T20:06:06.033298Z digest=sha256:05e5d4a6cc60f8fce0302d5e5fea9581e567d282494a20919c02c362a56bb5a2

Pith citing papers

Observation 754ee07a-4f97-4359-9eb4-ba47fbfe07b8 · inbound

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework cites this paper.

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG

Reference 1

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source=pdf_text observed=2026-08-03T23:33:43.179510Z digest=sha256:046a8e36abc89cf5dc756aaeb8a8902d8afc84d4e8acc5c922cc10dc778fdb25