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Paper Citation Record · LEDGER

BarcodeMamba: State Space Models for Biodiversity Analysis

As of 14 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2412.11084.

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

pith.paper-citation-record.v1
2412.11084 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:22:51.289757Z

measured 24 of 24 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 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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7c2c877-bb4f-4933-989c-80dc7c86048d · outbound

This paper cites Wang, Scott C.

BarcodeMamba: State Space Models for Biodiversity Analysis Wang, Scott C

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-11T15:22:51.659078Z

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.

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Observation 919eb16c-05d2-4ef3-98a5-e6118b4f5eb8 · outbound

This paper cites Fine-grained zero-shot learning with dna as side information.

BarcodeMamba: State Space Models for Biodiversity Analysis Fine-grained zero-shot learning with dna as side information

Reference 2

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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=2026-08-11T15:22:51.186265Z digest=sha256:ce295c2cb31694c47fed22bd9240ee5aebd0652c12685059b963aa37fad576e7

Observation bb94d769-453d-4743-871a-91d073ee9124 · outbound

This paper cites A Cookbook of Self-Supervised Learning.

BarcodeMamba: State Space Models for Biodiversity Analysis A Cookbook of Self-Supervised Learning

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 89f3bfeb-d436-4a47-8115-4ebc7b006159 · outbound

This paper cites To Transformers and Beyond: Large Language Models for the Genome.

BarcodeMamba: State Space Models for Biodiversity Analysis To Transformers and Beyond: Large Language Models for the Genome

Reference 4

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Unavailable: canonical work link unavailable.

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Observation 448ea2da-ec4c-477a-9bfe-b952e4c18f80 · outbound

This paper cites The nucleotide transformer: Building and evaluating robust foundation models for human genomics.

BarcodeMamba: State Space Models for Biodiversity Analysis The nucleotide transformer: Building and evaluating robust foundation models for human genomics

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-11T15:22:51.630766Z

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=2026-08-11T15:22:51.201351Z digest=sha256:4f2a576d97ccf8af107464c088ada59ca10e35efe4f64b1357ddaf5d912ec183

Observation e339df77-c28b-422d-83fa-3ab722838fe1 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

BarcodeMamba: State Space Models for Biodiversity Analysis Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 6

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source=pdf_text observed=2026-08-11T15:22:51.205459Z digest=sha256:4045a85c5b5f86d0a20afdd9e562c5b35836a3dfc2e40dd2fb84e7b4752c91a8

Observation c081e3f9-1d0b-47f7-8928-b480a208399b · outbound

This paper cites A reference library for canadian invertebrates with 1.5 million barcodes, voucher specimens, and dna samples.

BarcodeMamba: State Space Models for Biodiversity Analysis A reference library for canadian invertebrates with 1.5 million barcodes, voucher specimens, and dna samples

Reference 7

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raw_fallback, observed 2026-08-11T15:22:51.616375Z

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=2026-08-11T15:22:51.210620Z digest=sha256:ed1274af13700d93b94a7263eea31fe274dd28e99723cceb3b029bec3bfc69ed

Observation 463a322d-a431-4652-9052-e91cf9043240 · outbound

This paper cites Gena-lm: A family of open-source foundational models for long 8 dna sequences.

BarcodeMamba: State Space Models for Biodiversity Analysis Gena-lm: A family of open-source foundational models for long 8 dna sequences

Reference 8

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source=pdf_text observed=2026-08-11T15:22:51.214803Z digest=sha256:ebef98abbaf9ac1673bc46e623e5d3cdc999e487999d72ffda012f8052680bde

Observation cf316268-6348-416e-8f1d-740977b11d18 · outbound

This paper cites Lowe, ZeMing Gong, Pablo Millan Arias, Nicholas Pellegrino, Austin T.

BarcodeMamba: State Space Models for Biodiversity Analysis Lowe, ZeMing Gong, Pablo Millan Arias, Nicholas Pellegrino, Austin T

Reference 9

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raw_fallback, observed 2026-08-11T15:22:51.601979Z

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=2026-08-11T15:22:51.219472Z digest=sha256:91e874d2c710607a24ff0e904e4d7fbff71c517e4372bc92db9eeda7632f0c51

Observation b5bed41a-e369-43a3-9280-8546f2c825d2 · outbound

This paper cites Genomic benchmarks: a collection of datasets for genomic sequence classification.

BarcodeMamba: State Space Models for Biodiversity Analysis Genomic benchmarks: a collection of datasets for genomic sequence classification

Reference 10

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source=pdf_text observed=2026-08-11T15:22:51.224042Z digest=sha256:ac76e162a50484b99b37c67a4b45bd11e826b48a9491fad6d3d96f1c963bcec0

Observation 7d6233b9-1bab-4ce3-a2ae-f88c3cdbb361 · outbound

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

BarcodeMamba: State Space Models for Biodiversity Analysis Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 11

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source=pdf_text observed=2026-08-11T15:22:51.228152Z digest=sha256:e8e113db0bc32339bbf22c04bad2ceeffe1496c43775f09c1525eb3dc5d2cec1

Observation 08db1ebc-dc74-4130-a62b-40aa29a34c05 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.

BarcodeMamba: State Space Models for Biodiversity Analysis Efficiently modeling long sequences with structured state spaces

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:22:51.232634Z digest=sha256:9360f1fad49b1885f4cf0fed6ce917632a1e23e12907028887fd9ffb67513422

Observation fff6d2ba-972b-4611-af77-4c7a9f7ab34c · outbound

This paper cites Biological identifications through dna barcodes.

BarcodeMamba: State Space Models for Biodiversity Analysis Biological identifications through dna barcodes

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:22:51.563372Z

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.

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Observation 689f1c5c-4925-4f65-b850-fd93f4290c33 · outbound

This paper cites Dnabert: pre-trained bidirectional encoder representations from transformers model for dna-language in genome.

BarcodeMamba: State Space Models for Biodiversity Analysis Dnabert: pre-trained bidirectional encoder representations from transformers model for dna-language in genome

Reference 14

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source=pdf_text observed=2026-08-11T15:22:51.241217Z digest=sha256:da9e6e475e00465e6305355e3bc48dc41a790d8202d867064b408b7d954b2413

Observation 0aef258d-ac34-494e-98d1-bc3ab1f0b14b · outbound

This paper cites Scaling Laws for Neural Language Models.

BarcodeMamba: State Space Models for Biodiversity Analysis Scaling Laws for Neural Language Models

Reference 15

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source=pdf_text observed=2026-08-11T15:22:51.245418Z digest=sha256:591242f9797507d177abaf02e3911ddafc184ea2d7eb721cbd8ffd98d2ea28d6

Observation b656a64a-e17a-4d79-b16f-7ef37bd9bac9 · outbound

This paper cites The insect cytochrome oxidase i gene: evolutionary patterns and conserved primers for phylogenetic studies.

BarcodeMamba: State Space Models for Biodiversity Analysis The insect cytochrome oxidase i gene: evolutionary patterns and conserved primers for phylogenetic studies

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-11T15:22:51.532292Z

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=2026-08-11T15:22:51.250594Z digest=sha256:6a670dbf5f224b7744a25dce5162f90cdef39749555c1e43d7c8f6684a36170c

Observation 647cdf39-b8e6-4127-8dc7-2694195e235f · outbound

This paper cites BEND: Benchmarking DNA language models on biologically meaningful tasks.

BarcodeMamba: State Space Models for Biodiversity Analysis BEND: Benchmarking DNA language models on biologically meaningful tasks

Reference 17

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raw_fallback, observed 2026-08-11T15:22:51.518849Z

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=2026-08-11T15:22:51.255912Z digest=sha256:3eaf96d827b4929ef39ab33fa9ff425727a8a52da049855e1e26a6176c0406ba

Observation 0206f1b6-3c5f-46a3-b29a-05a3f0ab9737 · outbound

This paper cites Taxonomic classification of dna sequences beyond sequence similarity using deep neural networks.

BarcodeMamba: State Space Models for Biodiversity Analysis Taxonomic classification of dna sequences beyond sequence similarity using deep neural networks

Reference 18

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raw_fallback, observed 2026-08-11T15:22:51.502879Z

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=2026-08-11T15:22:51.260716Z digest=sha256:5a56cf3278b925719d98174d30df2b3f351c4b66af794a133c233450a4f1d7ce

Observation cb36f512-49d9-4bb5-9c56-4a480e45561b · outbound

This paper cites Hyenadna: Long-range genomic sequence modeling at single nucleotide resolution.

BarcodeMamba: State Space Models for Biodiversity Analysis Hyenadna: Long-range genomic sequence modeling at single nucleotide resolution

Reference 19

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Observation 6a777842-1219-4c9d-a936-996955312cd5 · outbound

This paper cites Bold: The barcode of life data system (http://www.

BarcodeMamba: State Space Models for Biodiversity Analysis Bold: The barcode of life data system (http://www

Reference 20

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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.

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Observation 428922ab-476c-4e7e-8a91-6e53886d7a38 · outbound

This paper cites an unresolved cited work.

BarcodeMamba: State Space Models for Biodiversity Analysis Unresolved cited work

Reference 21

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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=2026-08-11T15:22:51.276475Z digest=sha256:92311bfa2a634d38ec5dec7e89567d98666096da28627937479a3e92277ca5c4

Observation 5fa12bf8-9c09-4c89-945c-1ff3751493b6 · outbound

This paper cites Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling.

BarcodeMamba: State Space Models for Biodiversity Analysis Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling

Reference 22

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source=pdf_text observed=2026-08-11T15:22:51.281067Z digest=sha256:fd9343e7bc2153297402fc25432d969db09113390394fa2e827c11ce639064cb

Observation 55cdfb2d-2a7c-427f-b3a0-337ca71761be · outbound

This paper cites Attention is all you need.

BarcodeMamba: State Space Models for Biodiversity Analysis Attention is all you need

Reference 23

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source=pdf_text observed=2026-08-11T15:22:51.285751Z digest=sha256:6a9650771007ab69e23d71ab4a93753386244aefb4f3cbc2c64eb4f1bf226e37

Observation e81aa89e-5659-42cf-a812-c4baf618271d · outbound

This paper cites DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome.

BarcodeMamba: State Space Models for Biodiversity Analysis DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.